borderType：\u8fb9\u6846\u586b\u5145\u65b9\u5f0f\u7684\u679a\u4e3e\u503c，\u51b3\u5b9a\u4e86\u8fb9\u6846\u50cf\u7d20\u5982\u4f55\u751f\u6210\u3002OpenCV \u652f\u6301\u4ee5\u4e0b\u7c7b\u578b：<\/p>\n
- \n
- \n
cv2.BORDER_WRAP：\u5916\u5305\u88c5\u586b\u5145
\n\u8fb9\u6846\u50cf\u7d20\u4ece\u56fe\u50cf\u7684\u5bf9\u4fa7 \u201c\u7f20\u7ed5\u201d \u800c\u6765（\u7c7b\u4f3c\u5e73\u94fa\u6548\u679c）\u3002
\n\u4f8b：\u539f\u56fe\u8fb9\u7f18\u4e3a[1,2,3,4]，\u53f3\u4fa7\u8fb9\u6846\u53ef\u80fd\u586b\u5145[1,2]（\u590d\u7528\u5de6\u4fa7\u5185\u5bb9）\u3002<\/p>\n<\/li>\n - \n
cv2.BORDER_REFLECT_101（\u6216cv2.BORDER_DEFAULT）：\u5bf9\u79f0\u586b\u5145
\n\u4e0eREFLECT\u7c7b\u4f3c，\u4f46\u53cd\u5c04\u4ee5\u8fb9\u7f18\u50cf\u7d20\u4e3a\u8f74，\u5305\u542b\u8fb9\u7f18\u50cf\u7d20\u3002
\n\u4f8b：\u539f\u56fe\u8fb9\u7f18\u4e3a[1,2,3,4]，\u586b\u5145\u540e\u53ef\u80fd\u4e3a[2,1,1,2,3,4,4,3]（OpenCV \u63a8\u8350\u9ed8\u8ba4\u4f7f\u7528\u6b64\u7c7b\u578b）\u3002<\/p>\n<\/li>\n - \n
cv2.BORDER_REFLECT：\u53cd\u5c04\u586b\u5145
\n\u8fb9\u6846\u50cf\u7d20\u662f\u539f\u56fe\u8fb9\u7f18\u7684\u955c\u50cf\u53cd\u5c04，\u4e0d\u5305\u542b\u8fb9\u7f18\u50cf\u7d20\u672c\u8eab\u7684\u91cd\u590d\u3002
\n\u4f8b：\u539f\u56fe\u8fb9\u7f18\u4e3a[1,2,3,4]，\u586b\u5145\u540e\u53ef\u80fd\u4e3a[3,2,1,2,3,4,3,2]\u3002<\/p>\n<\/li>\n - \n
cv2.BORDER_REPLICATE：\u590d\u5236\u586b\u5145
\n\u8fb9\u6846\u50cf\u7d20\u7531\u539f\u56fe\u6700\u8fb9\u7f18\u7684\u50cf\u7d20\u590d\u5236\u800c\u6765（\u5982\u53f3\u4fa7\u8fb9\u6846\u590d\u5236\u539f\u56fe\u6700\u53f3\u5217\u50cf\u7d20，\u9876\u90e8\u8fb9\u6846\u590d\u5236\u539f\u56fe\u6700\u4e0a\u884c\u50cf\u7d20）\u3002<\/p>\n<\/li>\n - \n
cv2.BORDER_CONSTANT：\u5e38\u6570\u586b\u5145
\n\u8fb9\u6846\u50cf\u7d20\u4f7f\u7528\u6307\u5b9a\u7684\u5355\u4e00\u989c\u8272\u586b\u5145，\u9700\u914d\u5408value\u53c2\u6570\u8bbe\u7f6e\u989c\u8272（BGR \u683c\u5f0f，\u5982(255,0,0)\u8868\u793a\u84dd\u8272）\u3002<\/p>\n<\/li>\n<\/ul>\n<\/li>\n - \n
value：\u53ef\u9009\u53c2\u6570，\u4ec5\u5f53borderType=cv2.BORDER_CONSTANT\u65f6\u6709\u6548，\u6307\u5b9a\u8fb9\u6846\u7684\u989c\u8272\u503c：<\/p>\n
- \n
- \n
\u5f69\u8272\u56fe：BGR \u4e09\u901a\u9053\u503c（\u5982(0,255,0)\u8868\u793a\u7eff\u8272）\u3002<\/p>\n<\/li>\n
- \n
\u7070\u5ea6\u56fe：\u5355\u503c（\u5982128\u8868\u793a\u7070\u8272）\u3002<\/p>\n<\/li>\n<\/ul>\n<\/li>\n
\u8fd4\u56de\u503c<\/p>\n
- \n
- \n
\u6dfb\u52a0\u8fb9\u6846\u540e\u7684\u65b0\u56fe\u50cf（numpy.ndarray\u7c7b\u578b），\u5c3a\u5bf8\u4e3a：
\n(src.shape[0] + top + bottom, src.shape[1] + left + right, src.shape[2])（\u5f69\u8272\u56fe）
\n\u6216\u00a0(src.shape[0] + top + bottom, src.shape[1] + left + right)（\u7070\u5ea6\u56fe）\u3002<\/p>\n<\/li>\n<\/ul>\n\u793a\u4f8b\u4ee3\u7801：<\/p>\n
\u53ef\u4ee5\u81ea\u9009\u968f\u4fbf\u4e00\u5f20\u56fe\u7247<\/p>\n
# \u5bfc\u5165OpenCV\u5e93
\nimport cv2<\/p>\n# \u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6，\u8fd4\u56deBGR\u683c\u5f0f\u7684numpy\u6570\u7ec4
\n# \u6ce8\u610f：\u5982\u679c\u56fe\u50cf\u8def\u5f84\u9519\u8bef，\u4f1a\u8fd4\u56deNone\u4f46\u4e0d\u62a5\u9519
\nys = cv2.imread('mm.jpg')<\/p>\n# \u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8：\u6309\u6bd4\u4f8b\u7f29\u5c0f
\n# dsize=None\u8868\u793a\u4e0d\u76f4\u63a5\u6307\u5b9a\u76ee\u6807\u5c3a\u5bf8，\u800c\u662f\u901a\u8fc7fx\u548cfy\u8bbe\u7f6e\u7f29\u653e\u6bd4\u4f8b
\n# fx=0.2\u8868\u793a\u5bbd\u5ea6\u7f29\u5c0f\u4e3a\u539f\u6765\u768420%，fy=0.2\u8868\u793a\u9ad8\u5ea6\u7f29\u5c0f\u4e3a\u539f\u6765\u768420%
\nys = cv2.resize(ys, dsize=None, fx=0.2, fy=0.2)<\/p>\n# \u4e0b\u9762\u662f\u53e6\u4e00\u79cd\u5c3a\u5bf8\u8c03\u6574\u65b9\u5f0f（\u88ab\u6ce8\u91ca\u6389\u4e86）
\n# \u76f4\u63a5\u6307\u5b9a\u76ee\u6807\u5c3a\u5bf8\u4e3a(640, 480)，\u53c2\u6570\u683c\u5f0f\u4e3a(\u5bbd\u5ea6, \u9ad8\u5ea6)
\n# ys = cv2.resize(ys, (640, 480))<\/p>\n# \u5b9a\u4e49\u8fb9\u754c\u586b\u5145\u7684\u5c3a\u5bf8：\u4e0a\u4e0b\u5de6\u53f3\u5404\u586b\u514550\u50cf\u7d20
\n# top: \u9876\u90e8\u586b\u5145\u50cf\u7d20\u6570，bottom: \u5e95\u90e8\u586b\u5145\u50cf\u7d20\u6570
\n# left: \u5de6\u4fa7\u586b\u5145\u50cf\u7d20\u6570，right: \u53f3\u4fa7\u586b\u5145\u50cf\u7d20\u6570
\ntop, bottom, left, right = 50, 50, 50, 50<\/p>\n# 1. \u5e38\u91cf\u8fb9\u754c\u586b\u5145（BORDER_CONSTANT）
\n# \u4f7f\u7528\u6307\u5b9a\u7684\u989c\u8272\u586b\u5145\u8fb9\u754c，\u8fd9\u91cc\u586b\u5145\u4e3a(229,25,80)\u5bf9\u5e94\u7684\u7c89\u7ea2\u8272
\n# \u53c2\u6570\u8bf4\u660e：\u539f\u56fe\u50cf\u3001\u4e0a\u4e0b\u5de6\u53f3\u586b\u5145\u91cf\u3001\u8fb9\u754c\u7c7b\u578b\u3001\u586b\u5145\u989c\u8272
\nconstant = cv2.copyMakeBorder(ys, top, bottom, left, right,
\n borderType=cv2.BORDER_CONSTANT,
\n value=(229,25,80))<\/p>\n# 2. \u53cd\u5c04\u8fb9\u754c\u586b\u5145（BORDER_REFLECT）
\n# \u4ee5\u56fe\u50cf\u8fb9\u7f18\u4e3a\u8f74，\u5bf9\u79f0\u53cd\u5c04\u586b\u5145\u50cf\u7d20（\u7c7b\u4f3c\u955c\u50cf）
\n# \u4f8b\u5982\u539f\u56fe\u50cf\u8fb9\u7f18\u50cf\u7d20\u4e3aa,b,c，\u5219\u586b\u5145\u4e3ac,b,a,b,c,b,a…
\nreflect = cv2.copyMakeBorder(ys, top, bottom, left, right,
\n borderType=cv2.BORDER_REFLECT)<\/p>\n# 3. \u53cd\u5c04101\u8fb9\u754c\u586b\u5145（BORDER_REFLECT101）
\n# \u4e0eREFLECT\u7c7b\u4f3c，\u4f46\u4e0d\u91cd\u590d\u8fb9\u7f18\u50cf\u7d20
\n# \u4f8b\u5982\u539f\u56fe\u50cf\u8fb9\u7f18\u50cf\u7d20\u4e3aa,b,c，\u5219\u586b\u5145\u4e3ab,a,b,c,b,a…
\nreflect101 = cv2.copyMakeBorder(ys, top, bottom, left, right,
\n borderType=cv2.BORDER_REFLECT101)<\/p>\n# 4. \u590d\u5236\u8fb9\u754c\u586b\u5145（BORDER_REPLICATE）
\n# \u91cd\u590d\u6700\u8fb9\u7f18\u7684\u50cf\u7d20\u8fdb\u884c\u586b\u5145
\n# \u4f8b\u5982\u539f\u56fe\u50cf\u8fb9\u7f18\u50cf\u7d20\u4e3aa,b,c，\u5219\u586b\u5145\u4e3ac,c,c,c,c…
\nreplicate = cv2.copyMakeBorder(ys, top, bottom, left, right,
\n borderType=cv2.BORDER_REPLICATE)<\/p>\n# 5. \u73af\u7ed5\u8fb9\u754c\u586b\u5145（BORDER_WRAP）
\n# \u4ee5\u56fe\u50cf\u5bf9\u4fa7\u7684\u5185\u5bb9\u586b\u5145\u8fb9\u754c（\u7c7b\u4f3c\u5e73\u94fa\u6548\u679c）
\n# \u4f8b\u5982\u53f3\u4fa7\u8fb9\u754c\u7528\u5de6\u4fa7\u5185\u5bb9\u586b\u5145，\u5e95\u90e8\u8fb9\u754c\u7528\u9876\u90e8\u5185\u5bb9\u586b\u5145
\nwrap = cv2.copyMakeBorder(ys, top, bottom, left, right,
\n borderType=cv2.BORDER_WRAP)<\/p>\n# \u663e\u793a\u539f\u59cb\u56fe\u50cf，\u7a97\u53e3\u540d\u4e3a"1.yuantu"
\ncv2.imshow('1.yuantu', ys)
\n# cv2.waitKey(0) # \u6ce8\u91ca\u6389\u7684\u7b49\u5f85\u6309\u952e，\u4e0d\u542f\u7528\u65f6\u6240\u6709\u7a97\u53e3\u4f1a\u540c\u65f6\u663e\u793a<\/p>\n# \u663e\u793a\u5e38\u91cf\u586b\u5145\u6548\u679c
\ncv2.imshow('2.CONSTANT', constant)
\n# cv2.waitKey(0)<\/p>\n# \u663e\u793a\u53cd\u5c04\u586b\u5145\u6548\u679c
\ncv2.imshow('3.REFLECT', reflect)
\n# cv2.waitKey(0)<\/p>\n# \u663e\u793a\u53cd\u5c04101\u586b\u5145\u6548\u679c
\ncv2.imshow('4.REFLECT 101', reflect101)
\n# cv2.waitKey(0)<\/p>\n# \u663e\u793a\u590d\u5236\u586b\u5145\u6548\u679c
\ncv2.imshow('5.REPLICATE', replicate)
\n# cv2.waitKey(0)<\/p>\n# \u663e\u793a\u73af\u7ed5\u586b\u5145\u6548\u679c
\ncv2.imshow('6.WRAP', wrap)<\/p>\n# \u7b49\u5f85\u7528\u6237\u6309\u952e，0\u8868\u793a\u65e0\u9650\u7b49\u5f85，\u6309\u4efb\u610f\u952e\u540e\u5173\u95ed\u6240\u6709\u7a97\u53e3
\ncv2.waitKey(0)<\/p>\n![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250814114501-689dcc3d8c82a.png\")
<\/p>\n<\/p>\n\u4e8c\u3001\u56fe\u50cf\u7684\u8fd0\u7b97<\/h3>\n
1. \u50cf\u7d20\u503c\u52a0\u6cd5（numpy \u8fd0\u7b97）<\/h5>\n
c = a + 10 # \u5bf9\u56fe\u50cfa\u7684\u6240\u6709\u50cf\u7d20\u503c\u52a010
\nc = a[50:250, 50:200] + b[50:250, 50:200] # \u5bf9\u6307\u5b9a\u533a\u57df\u7684\u50cf\u7d20\u76f8\u52a0<\/p>\n- \n
- \u539f\u7406：\u57fa\u4e8e Numpy \u6570\u7ec4\u7684\u5143\u7d20\u7ea7\u8fd0\u7b97，\u6bcf\u4e2a\u50cf\u7d20\u7684 BGR \u4e09\u4e2a\u901a\u9053\u503c\u5206\u522b\u53c2\u4e0e\u8fd0\u7b97<\/li>\n
- \u7279\u70b9：\u5c5e\u4e8e\u6a21\u8fd0\u7b97（\u6ea2\u51fa\u65f6\u53d6\u6a21），\u4f8b\u5982\u50cf\u7d20\u503c250 + 10 = 260 \u2192 260 % 256 = 4<\/li>\n
- \u9650\u5236：\u8981\u6c42\u53c2\u4e0e\u8fd0\u7b97\u7684\u56fe\u50cf\u533a\u57df\u5c3a\u5bf8\u5b8c\u5168\u76f8\u540c（\u5982a[50:250,50:200]\u4e0eb[50:250,50:200]\u7684\u5bbd\u9ad8\u5fc5\u987b\u4e00\u81f4）<\/li>\n<\/ul>\n
2. \u56fe\u50cf\u52a0\u6cd5（OpenCV \u51fd\u6570）<\/h5>\n
c = cv2.add(a, b)<\/p>\n
- \n
- \u529f\u80fd：\u4e0ea + b\u7c7b\u4f3c，\u4f46\u5c5e\u4e8e\u9971\u548c\u8fd0\u7b97（\u6ea2\u51fa\u65f6\u53d6\u6700\u5927\u503c 255）<\/li>\n
- \u533a\u522b：\n
- \n
- a + b：\u6a21\u8fd0\u7b97（250 + 10 = 4）<\/li>\n
- cv2.add(a, b)：\u9971\u548c\u8fd0\u7b97（250 + 10 = 255）<\/li>\n<\/ul>\n<\/li>\n
- \u4f18\u52bf：\u66f4\u7b26\u5408\u89c6\u89c9\u9884\u671f，\u907f\u514d\u50cf\u7d20\u503c\u6ea2\u51fa\u5bfc\u81f4\u7684\u5f02\u5e38\u989c\u8272<\/li>\n<\/ul>\n
3. \u52a0\u6743\u56fe\u50cf\u878d\u5408：cv2.addWeighted()<\/h5>\n
c = cv2.addWeighted(a, 0.5, b, 0.5, 10)<\/p>\n
- \n
- \u529f\u80fd：\u6309\u6743\u91cd\u878d\u5408\u4e24\u5f20\u56fe\u50cf，\u516c\u5f0f\u4e3a：
\nresult = \u03b1\u00d7img1 + \u03b2\u00d7img2 + \u03b3<\/li>\n - \u53c2\u6570：\n
- \n
- a\/b：\u8f93\u5165\u56fe\u50cf（\u9700\u5c3a\u5bf8\u548c\u901a\u9053\u6570\u76f8\u540c）<\/li>\n
- 0.5\/0.5：\u6743\u91cd\u03b1\u548c\u03b2（\u603b\u548c\u53ef\u4e0d\u4e3a 1，\u63a7\u5236\u4e24\u5f20\u56fe\u50cf\u7684\u5360\u6bd4）<\/li>\n
- 10：\u504f\u7f6e\u9879\u03b3（\u5bf9\u7ed3\u679c\u6574\u4f53\u52a0\u4e00\u4e2a\u5e38\u91cf，\u8c03\u6574\u4eae\u5ea6）<\/li>\n<\/ul>\n<\/li>\n
- \u5e94\u7528\u573a\u666f：\u5b9e\u73b0\u56fe\u50cf\u6de1\u5165\u6de1\u51fa\u3001\u53e0\u52a0\u6c34\u5370\u7b49\u6548\u679c<\/li>\n<\/ul>\n
\u793a\u4f8b\u4ee3\u7801：<\/p>\n
# \u5bfc\u5165OpenCV\u5e93，cv2\u662fOpenCV\u5728Python\u4e2d\u7684\u522b\u540d
\nimport cv2<\/p>\n# \u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6，\u8fd4\u56de\u7684\u662fnumpy\u6570\u7ec4(ndarray)，\u9ed8\u8ba4\u8bfb\u53d6\u4e3a\u5f69\u8272\u56fe\u50cf(BGR\u683c\u5f0f)
\n# \u6ce8\u610f：\u5982\u679c\u6587\u4ef6\u8def\u5f84\u9519\u8bef，\u4f1a\u8fd4\u56deNone\u4f46\u4e0d\u62a5\u9519
\na = cv2.imread('flower_dog.jpg') # \u8bfb\u53d6\u7b2c\u4e00\u5f20\u56fe\u50cf
\nb = cv2.imread('img.png') # \u8bfb\u53d6\u7b2c\u4e8c\u5f20\u56fe\u50cf
\n# \u50cf\u7d20\u503c\u8fd0\u7b97：\u5bf9\u56fe\u50cfa\u7684\u6240\u6709\u50cf\u7d20\u70b9\u7684\u6bcf\u4e2a\u901a\u9053\u503c\u90fd\u52a010
\n# \u539f\u7406：numpy\u6570\u7ec4\u7684\u5143\u7d20\u7ea7\u8fd0\u7b97，\u5c5e\u4e8e\u6a21\u8fd0\u7b97(\u8d85\u8fc7255\u4f1a\u53d6\u6a21，\u5982250+10=260\u2192260%256=4)
\nc = a + 10
\n# \u521b\u5efa\u7a97\u53e3\u663e\u793a\u56fe\u50cf，\u7b2c\u4e00\u4e2a\u53c2\u6570\u662f\u7a97\u53e3\u540d\u79f0，\u7b2c\u4e8c\u4e2a\u53c2\u6570\u662f\u8981\u663e\u793a\u7684\u56fe\u50cf
\ncv2.imshow('yuan', a) # \u663e\u793a\u539f\u59cb\u56fe\u50cfa，\u7a97\u53e3\u540d\u4e3a"yuan"
\ncv2.imshow('a+10', c) # \u663e\u793a\u50cf\u7d20\u503c\u52a010\u540e\u7684\u56fe\u50cfc，\u7a97\u53e3\u540d\u4e3a"a+10"
\n# \u7b49\u5f85\u952e\u76d8\u8f93\u5165，\u53c2\u65700\u8868\u793a\u65e0\u9650\u7b49\u5f85，\u76f4\u5230\u7528\u6237\u6309\u4e0b\u4efb\u610f\u952e
\n# \u5fc5\u987b\u914d\u5408imshow\u4f7f\u7528，\u5426\u5219\u7a97\u53e3\u4f1a\u4e00\u95ea\u800c\u901d
\ncv2.waitKey(0)
\n# \u56fe\u50cf\u533a\u57df\u50cf\u7d20\u76f8\u52a0：\u5bf9a\u548cb\u7684\u6307\u5b9a\u533a\u57df\u8fdb\u884c\u50cf\u7d20\u52a0\u6cd5
\n# [50:250,50:200]\u8868\u793a\u88c1\u526a\u56fe\u50cf\u7684\u884c\u8303\u56f450-250，\u5217\u8303\u56f450-200(\u6ce8\u610f\u662f\u9ad8\u00d7\u5bbd)
\n# \u8981\u6c42\u4e24\u4e2a\u533a\u57df\u7684\u5c3a\u5bf8\u5b8c\u5168\u76f8\u540c，\u5426\u5219\u4f1a\u62a5\u9519
\nc = a[50:250, 50:200] + b[50:250, 50:200]
\ncv2.imshow('a+b', c) # \u663e\u793a\u533a\u57df\u76f8\u52a0\u7684\u7ed3\u679c<\/p>\n# \u91cd\u65b0\u8bfb\u53d6\u56fe\u50cf(\u53ef\u80fd\u56e0\u4e3a\u4e4b\u524d\u7684\u64cd\u4f5c\u4fee\u6539\u4e86\u539f\u56fe\u50cf\u6570\u636e)
\na = cv2.imread('flower_dog.jpg')
\nb = cv2.imread('img.png')
\n# \u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8：\u5c06a\u548cb\u90fd\u8c03\u6574\u4e3a400\u00d7400\u50cf\u7d20
\n# \u6ce8\u610f\u53c2\u6570\u662f(\u5bbd\u5ea6, \u9ad8\u5ea6)，\u4e0e\u56fe\u50cf\u6570\u7ec4\u7684(\u9ad8\u5ea6,\u5bbd\u5ea6)\u7ef4\u5ea6\u987a\u5e8f\u76f8\u53cd
\na = cv2.resize(a, (400, 400))
\nb = cv2.resize(b, (400, 400))
\n# OpenCV\u7684\u56fe\u50cf\u52a0\u6cd5\u51fd\u6570：\u4e0ea+b\u7684\u533a\u522b\u662f\u91c7\u7528\u9971\u548c\u8fd0\u7b97(\u8d85\u8fc7255\u5219\u53d6255)
\n# \u4f8b\u5982250+10=255\u800c\u4e0d\u662f4，\u66f4\u7b26\u5408\u89c6\u89c9\u9884\u671f
\nc = cv2.add(a, b)
\ncv2.imshow('a,add,b', c) # \u663e\u793acv2.add\u7684\u8fd0\u7b97\u7ed3\u679c
\ncv2.waitKey(0) # \u7b49\u5f85\u6309\u952e\u8f93\u5165
\ncv2.destroyAllWindows() # \u5173\u95ed\u6240\u6709OpenCV\u521b\u5efa\u7684\u7a97\u53e3<\/p>\n# \u518d\u6b21\u8bfb\u53d6\u56fe\u50cf，\u51c6\u5907\u8fdb\u884c\u52a0\u6743\u878d\u5408
\na = cv2.imread('flower_dog.jpg')
\nb = cv2.imread('img.png')
\n# \u7edf\u4e00\u56fe\u50cf\u5c3a\u5bf8，\u786e\u4fdd\u53ef\u4ee5\u8fdb\u884c\u878d\u5408\u8fd0\u7b97
\na = cv2.resize(a, (400, 400))
\nb = cv2.resize(b, (400, 400))
\n# \u56fe\u50cf\u52a0\u6743\u878d\u5408：result = \u03b1*a + \u03b2*b + \u03b3
\n# \u53c2\u6570\u8bf4\u660e：a\u548cb\u662f\u8f93\u5165\u56fe\u50cf，0.5\u548c0.5\u662f\u6743\u91cd，10\u662f\u4eae\u5ea6\u8c03\u8282\u503c(\u504f\u7f6e\u9879)
\n# \u516c\u5f0f：c = 0.5*a + 0.5*b + 10
\nc = cv2.addWeighted(a, 0.5, b, 0.5, 10)
\ncv2.imshow('addweighted', c) # \u663e\u793a\u52a0\u6743\u878d\u5408\u7ed3\u679c
\ncv2.waitKey(0) # \u7b49\u5f85\u6309\u952e\u8f93\u5165
\ncv2.destroyAllWindows() # \u5173\u95ed\u6240\u6709\u7a97\u53e3，\u91ca\u653e\u8d44\u6e90<\/p>\n![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250814114504-689dcc4061bff.png\")
<\/p>\n<\/p>\n![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250814114511-689dcc472b42d.png\")
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250814114511-689dcc47eff48.png\")
<\/p>\n<\/p>\n\u4e09\u3001\u56fe\u50cf\u7684\u9608\u503c\u5904\u7406<\/h3>\n
1.\u00a0cv2.THRESH_BINARY（\u4e8c\u8fdb\u5236\u9608\u503c）<\/h4>\n
\u6838\u5fc3\u903b\u8f91：\u5c06\u56fe\u50cf\u50cf\u7d20\u503c\u4e0e\u9608\u503c\u6bd4\u8f83，\u5927\u4e8e\u9608\u503c\u7684\u50cf\u7d20\u8bbe\u4e3a\u6700\u5927\u503c（\u901a\u5e38\u4e3a 255，\u767d\u8272），\u5c0f\u4e8e\u7b49\u4e8e\u9608\u503c\u7684\u8bbe\u4e3a 0（\u9ed1\u8272）\u3002
\n\u6570\u5b66\u8868\u8fbe\u5f0f：
\ndst(x,y) = maxval, if src(x,y) > thresh
\ndst(x,y) = 0, otherwise<\/p>\n\u76f4\u89c2\u7406\u89e3：\u975e\u9ed1\u5373\u767d\u7684\u4e8c\u503c\u5316，\u76f4\u63a5\u5c06\u56fe\u50cf\u5206\u4e3a\u4e24\u4e2a\u6781\u7aef\u3002
\n\u9002\u7528\u573a\u666f：<\/p>\n- \n
- \u6587\u6863\u626b\u63cf（\u5c06\u6587\u5b57\u4e0e\u80cc\u666f\u5206\u79bb）<\/li>\n
- \u76ee\u6807\u68c0\u6d4b\u4e2d\u63d0\u53d6\u8f6e\u5ed3（\u5982\u4e8c\u7ef4\u7801\u8bc6\u522b）<\/li>\n
- \u53bb\u9664\u7070\u5ea6\u56fe\u4e2d\u7070\u5ea6\u503c\u8f83\u4f4e\u7684\u80cc\u666f\u566a\u58f0<\/li>\n<\/ul>\n
2.\u00a0cv2.THRESH_BINARY_INV（\u53cd\u4e8c\u8fdb\u5236\u9608\u503c）<\/h4>\n
\u6838\u5fc3\u903b\u8f91：\u4e0eTHRESH_BINARY\u5b8c\u5168\u76f8\u53cd，\u5927\u4e8e\u9608\u503c\u7684\u50cf\u7d20\u8bbe\u4e3a 0（\u9ed1\u8272），\u5c0f\u4e8e\u7b49\u4e8e\u9608\u503c\u7684\u8bbe\u4e3a\u6700\u5927\u503c（255，\u767d\u8272）\u3002
\n\u6570\u5b66\u8868\u8fbe\u5f0f：
\ndst(x,y) = 0, if src(x,y) > thresh
\ndst(x,y) = maxval, otherwise<\/p>\n\u76f4\u89c2\u7406\u89e3：\u9ed1\u767d\u53cd\u8f6c\u7684\u4e8c\u503c\u5316，\u539f\u6765\u770b\u8d77\u6765\u4eae\u7684\u533a\u57df\u53d8\u6697，\u6697\u7684\u533a\u57df\u53d8\u4eae\u3002
\n\u9002\u7528\u573a\u666f：<\/p>\n- \n
- \u6587\u5b57\u8bc6\u522b\u4e2d\u9700\u8981 \u201c\u9ed1\u5e95\u767d\u5b57\u201d \u8f6c \u201c\u767d\u5e95\u9ed1\u5b57\u201d<\/li>\n
- \u63d0\u53d6\u56fe\u50cf\u4e2d\u8f83\u6697\u7684\u76ee\u6807（\u5982\u591c\u666f\u4e2d\u7684\u706f\u5149）<\/li>\n
- \u4fee\u6b63\u5149\u7167\u4e0d\u5747\u5bfc\u81f4\u7684\u660e\u6697\u98a0\u5012\u95ee\u9898<\/li>\n<\/ul>\n
3.\u00a0cv2.THRESH_TRUNC（\u622a\u65ad\u9608\u503c）<\/h4>\n
\u6838\u5fc3\u903b\u8f91：\u50cf\u7d20\u503c\u5927\u4e8e\u9608\u503c\u65f6，\u5f3a\u5236\u8bbe\u4e3a\u9608\u503c\u672c\u8eab；\u5c0f\u4e8e\u7b49\u4e8e\u9608\u503c\u65f6，\u4fdd\u6301\u539f\u50cf\u7d20\u503c\u4e0d\u53d8\u3002
\n\u6570\u5b66\u8868\u8fbe\u5f0f：
\ndst(x,y) = thresh, if src(x,y) > thresh
\ndst(x,y) = src(x,y), otherwise<\/p>\n\u76f4\u89c2\u7406\u89e3：\u201c\u622a\u65ad\u201d \u8fc7\u4eae\u7684\u50cf\u7d20，\u5c06\u8d85\u8fc7\u9608\u503c\u7684\u4eae\u5ea6 \u201c\u538b\u201d \u5230\u9608\u503c\u6c34\u5e73，\u4fdd\u7559\u6697\u90e8\u7ec6\u8282\u3002
\n\u9002\u7528\u573a\u666f：<\/p>\n- \n
- \u5904\u7406\u8fc7\u66dd\u56fe\u50cf（\u5982\u5f3a\u5149\u5bfc\u81f4\u7684\u767d\u8272\u533a\u57df\u8fc7\u5927）<\/li>\n
- \u6291\u5236\u9ad8\u5149\u533a\u57df（\u5982\u4eba\u50cf\u6444\u5f71\u4e2d\u8fc7\u4eae\u7684\u76ae\u80a4）<\/li>\n
- \u4fdd\u7559\u56fe\u50cf\u6697\u90e8\u7eb9\u7406，\u540c\u65f6\u907f\u514d\u4eae\u90e8\u8fc7\u66dd\u4e22\u5931\u4fe1\u606f<\/li>\n<\/ul>\n
4.\u00a0cv2.THRESH_TOZERO（\u5f52\u96f6\u9608\u503c）<\/h4>\n
\u6838\u5fc3\u903b\u8f91：\u50cf\u7d20\u503c\u5927\u4e8e\u9608\u503c\u65f6，\u4fdd\u6301\u539f\u50cf\u7d20\u503c；\u5c0f\u4e8e\u7b49\u4e8e\u9608\u503c\u65f6，\u8bbe\u4e3a 0（\u9ed1\u8272）\u3002
\n\u6570\u5b66\u8868\u8fbe\u5f0f：
\ndst(x,y) = src(x,y), if src(x,y) > thresh
\ndst(x,y) = 0, otherwise<\/p>\n\u76f4\u89c2\u7406\u89e3：\u53ea\u4fdd\u7559\u4eae\u5ea6\u9ad8\u4e8e\u9608\u503c\u7684\u533a\u57df，\u4f4e\u4e8e\u9608\u503c\u7684\u533a\u57df\u76f4\u63a5 \u201c\u5f52\u96f6\u201d（\u53d8\u9ed1）\u3002
\n\u9002\u7528\u573a\u666f：<\/p>\n- \n
- \u63d0\u53d6\u56fe\u50cf\u4e2d\u8f83\u4eae\u7684\u76ee\u6807（\u5982 X \u5149\u7247\u4e2d\u7684\u9ad8\u4eae\u75c5\u53d8\u533a\u57df）<\/li>\n
- \u53bb\u9664\u6697\u90e8\u566a\u58f0（\u5982\u4f4e\u5149\u7167\u4e0b\u7684\u56fe\u50cf\u566a\u70b9）<\/li>\n
- \u4fdd\u7559\u76ee\u6807\u533a\u57df（\u901a\u5e38\u8f83\u4eae）\u5e76\u7b80\u5316\u80cc\u666f（\u53d8\u4e3a\u9ed1\u8272）<\/li>\n<\/ul>\n
5.\u00a0cv2.THRESH_TOZERO_INV（\u53cd\u5f52\u96f6\u9608\u503c）<\/h4>\n
\u6838\u5fc3\u903b\u8f91：\u4e0eTHRESH_TOZERO\u76f8\u53cd，\u50cf\u7d20\u503c\u5927\u4e8e\u9608\u503c\u65f6，\u8bbe\u4e3a 0（\u9ed1\u8272）；\u5c0f\u4e8e\u7b49\u4e8e\u9608\u503c\u65f6，\u4fdd\u6301\u539f\u50cf\u7d20\u503c\u3002
\n\u6570\u5b66\u8868\u8fbe\u5f0f：
\ndst(x,y) = 0, if src(x,y) > thresh
\ndst(x,y) = src(x,y), otherwise<\/p>\n\u76f4\u89c2\u7406\u89e3：\u53ea\u4fdd\u7559\u4eae\u5ea6\u4f4e\u4e8e\u9608\u503c\u7684\u533a\u57df，\u9ad8\u4e8e\u9608\u503c\u7684\u533a\u57df \u201c\u5f52\u96f6\u201d（\u53d8\u9ed1）\u3002
\n\u9002\u7528\u573a\u666f：<\/p>\n- \n
- \u63d0\u53d6\u56fe\u50cf\u4e2d\u8f83\u6697\u7684\u76ee\u6807（\u5982\u591c\u666f\u4e2d\u7684\u9634\u5f71\u533a\u57df）<\/li>\n
- \u53bb\u9664\u9ad8\u5149\u5e72\u6270（\u5982\u53cd\u5149\u3001\u5149\u6591）<\/li>\n
- \u4fdd\u7559\u6697\u90e8\u7ec6\u8282，\u540c\u65f6\u6d88\u9664\u8fc7\u4eae\u533a\u57df\u7684\u5f71\u54cd<\/li>\n<\/ul>\n
\u603b\u7ed3：5 \u79cd\u9608\u503c\u7c7b\u578b\u7684\u6838\u5fc3\u5dee\u5f02<\/h4>\n
\n
\u9608\u503c\u7c7b\u578b\u5927\u4e8e\u9608\u503c\u7684\u50cf\u7d20\u5904\u7406\u5c0f\u4e8e\u7b49\u4e8e\u9608\u503c\u7684\u50cf\u7d20\u5904\u7406\u6838\u5fc3\u4f5c\u7528<\/tr>\n \n\n THRESH_BINARY<\/td>\n \u8bbe\u4e3a maxval（\u5982 255）<\/td>\n \u8bbe\u4e3a 0<\/td>\n \u4eae\u533a\u57df\u4fdd\u7559，\u6697\u533a\u57df\u53d8\u9ed1<\/td>\n<\/tr>\n \n THRESH_BINARY_INV<\/td>\n \u8bbe\u4e3a 0<\/td>\n \u8bbe\u4e3a maxval（\u5982 255）<\/td>\n \u6697\u533a\u57df\u4fdd\u7559，\u4eae\u533a\u57df\u53d8\u9ed1<\/td>\n<\/tr>\n \n THRESH_TRUNC<\/td>\n \u8bbe\u4e3a\u9608\u503c\u672c\u8eab<\/td>\n \u4fdd\u6301\u539f\u503c<\/td>\n \u6291\u5236\u8fc7\u4eae\u533a\u57df，\u4fdd\u7559\u6697\u90e8<\/td>\n<\/tr>\n \n THRESH_TOZERO<\/td>\n \u4fdd\u6301\u539f\u503c<\/td>\n \u8bbe\u4e3a 0<\/td>\n \u4fdd\u7559\u4eae\u533a\u57df，\u6697\u533a\u57df\u53d8\u9ed1<\/td>\n<\/tr>\n \n THRESH_TOZERO_INV<\/td>\n \u8bbe\u4e3a 0<\/td>\n \u4fdd\u6301\u539f\u503c<\/td>\n \u4fdd\u7559\u6697\u533a\u57df，\u4eae\u533a\u57df\u53d8\u9ed1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u793a\u4f8b\u4ee3\u7801：<\/p>\n
# \u5bfc\u5165OpenCV\u5e93，OpenCV\u662f\u4e00\u4e2a\u7528\u4e8e\u8ba1\u7b97\u673a\u89c6\u89c9\u7684\u5f00\u6e90\u5e93
\nimport cv2<\/p>\n# \u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6，\u5e76\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe
\n# \u53c2\u6570\u8bf4\u660e：
\n# 'mm.jpg'：\u56fe\u50cf\u6587\u4ef6\u8def\u5f84（\u9700\u4e0e\u811a\u672c\u540c\u76ee\u5f55\u6216\u4f7f\u7528\u7edd\u5bf9\u8def\u5f84）
\n# 0：\u8bfb\u53d6\u6a21\u5f0f，0\u8868\u793a\u4ee5\u7070\u5ea6\u56fe\u6a21\u5f0f\u8bfb\u53d6（\u5355\u901a\u9053）
\nimage = cv2.imread('mm.jpg', 0)<\/p>\n# \u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\u4e3a400×400\u50cf\u7d20
\n# \u6ce8\u610f：resize\u51fd\u6570\u7684\u53c2\u6570\u662f(width, height)，\u4e0e\u56fe\u50cf\u901a\u5e38\u7684(height, width)\u683c\u5f0f\u76f8\u53cd
\nimage = cv2.resize(image, (400, 400))<\/p>\n# 1. \u4e8c\u8fdb\u5236\u9608\u503c\u5904\u7406
\n# \u53c2\u6570\u8bf4\u660e：
\n# image：\u8f93\u5165\u7684\u7070\u5ea6\u56fe\u50cf
\n# 130：\u8bbe\u5b9a\u7684\u9608\u503c
\n# 255：\u6700\u5927\u503c（\u7528\u4e8eTHRESH_BINARY\u548cTHRESH_BINARY_INV\u7c7b\u578b）
\n# cv2.THRESH_BINARY：\u9608\u503c\u7c7b\u578b，\u5927\u4e8e\u9608\u503c\u7684\u50cf\u7d20\u8bbe\u4e3a255，\u5426\u5219\u8bbe\u4e3a0
\n# \u8fd4\u56de\u503c：ret\u4e3a\u4f7f\u7528\u7684\u9608\u503c，binary\u4e3a\u5904\u7406\u540e\u7684\u56fe\u50cf
\nret, binary = cv2.threshold(image, 130, 255, cv2.THRESH_BINARY)<\/p>\n# 2. \u53cd\u4e8c\u8fdb\u5236\u9608\u503c\u5904\u7406
\n# cv2.THRESH_BINARY_INV：\u4e0eBINARY\u76f8\u53cd，\u5927\u4e8e\u9608\u503c\u7684\u50cf\u7d20\u8bbe\u4e3a0，\u5426\u5219\u8bbe\u4e3a255
\nret1, binaryInv = cv2.threshold(image, 130, 255, cv2.THRESH_BINARY_INV)<\/p>\n# 3. \u622a\u65ad\u9608\u503c\u5904\u7406
\n# cv2.THRESH_TRUNC：\u5927\u4e8e\u9608\u503c\u7684\u50cf\u7d20\u8bbe\u4e3a\u9608\u503c(130)，\u5426\u5219\u4fdd\u6301\u539f\u50cf\u7d20\u503c
\nret2, trunc = cv2.threshold(image, 130, 255, cv2.THRESH_TRUNC)<\/p>\n# 4. \u5f52\u96f6\u9608\u503c\u5904\u7406
\n# cv2.THRESH_TOZERO：\u5927\u4e8e\u9608\u503c\u7684\u50cf\u7d20\u4fdd\u6301\u539f\u503c，\u5426\u5219\u8bbe\u4e3a0
\nret3, tozero = cv2.threshold(image, 130, 255, cv2.THRESH_TOZERO)<\/p>\n# 5. \u53cd\u5f52\u96f6\u9608\u503c\u5904\u7406
\n# cv2.THRESH_TOZERO_INV：\u4e0eTOZERO\u76f8\u53cd，\u5927\u4e8e\u9608\u503c\u7684\u50cf\u7d20\u8bbe\u4e3a0，\u5426\u5219\u4fdd\u6301\u539f\u503c
\nret4, tozeroInv = cv2.threshold(image, 130, 255, cv2.THRESH_TOZERO_INV)<\/p>\n# \u663e\u793a\u539f\u59cb\u7070\u5ea6\u56fe\u50cf
\n# \u53c2\u6570：\u7a97\u53e3\u540d\u79f0('gray')\u548c\u8981\u663e\u793a\u7684\u56fe\u50cf
\ncv2.imshow('gray', image)<\/p>\n# \u663e\u793a\u4e8c\u8fdb\u5236\u9608\u503c\u5904\u7406\u540e\u7684\u56fe\u50cf
\n# \u6548\u679c：\u50cf\u7d20\u503c>130\u7684\u533a\u57df\u53d8\u4e3a\u767d\u8272(255)，<=130\u7684\u533a\u57df\u53d8\u4e3a\u9ed1\u8272(0)
\ncv2.imshow('binary', binary)<\/p>\n# \u663e\u793a\u53cd\u4e8c\u8fdb\u5236\u9608\u503c\u5904\u7406\u540e\u7684\u56fe\u50cf
\n# \u6548\u679c：\u50cf\u7d20\u503c>130\u7684\u533a\u57df\u53d8\u4e3a\u9ed1\u8272(0)，<=130\u7684\u533a\u57df\u53d8\u4e3a\u767d\u8272(255)
\ncv2.imshow('binaryInv', binaryInv)<\/p>\n# \u663e\u793a\u622a\u65ad\u9608\u503c\u5904\u7406\u540e\u7684\u56fe\u50cf
\n# \u6548\u679c：\u50cf\u7d20\u503c>130\u7684\u533a\u57df\u53d8\u4e3a130(\u7070\u8272)，<=130\u7684\u533a\u57df\u4fdd\u6301\u539f\u56fe\u4eae\u5ea6
\ncv2.imshow('trunc', trunc)<\/p>\n# \u663e\u793a\u5f52\u96f6\u9608\u503c\u5904\u7406\u540e\u7684\u56fe\u50cf
\n# \u6548\u679c：\u50cf\u7d20\u503c>130\u7684\u533a\u57df\u4fdd\u6301\u539f\u56fe\u4eae\u5ea6，<=130\u7684\u533a\u57df\u53d8\u4e3a\u9ed1\u8272(0)
\ncv2.imshow('tozero', tozero)<\/p>\n# \u663e\u793a\u53cd\u5f52\u96f6\u9608\u503c\u5904\u7406\u540e\u7684\u56fe\u50cf
\n# \u6548\u679c：\u50cf\u7d20\u503c>130\u7684\u533a\u57df\u53d8\u4e3a\u9ed1\u8272(0)，<=130\u7684\u533a\u57df\u4fdd\u6301\u539f\u56fe\u4eae\u5ea6
\ncv2.imshow('tozeroInv', tozeroInv)<\/p>\n# \u7b49\u5f85\u7528\u6237\u6309\u952e\u64cd\u4f5c
\n# \u53c2\u65700\u8868\u793a\u65e0\u9650\u7b49\u5f85，\u76f4\u5230\u7528\u6237\u6309\u4e0b\u4efb\u610f\u952e
\n# \u6240\u6709\u7a97\u53e3\u4f1a\u5728\u7528\u6237\u6309\u952e\u540e\u5173\u95ed
\ncv2.waitKey(0)<\/p>\n![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250814114513-689dcc4965c25.png\")
<\/p>\n<\/p>\n\u56db\u3001\u56fe\u50cf\u7684\u5e73\u6ed1\u5904\u7406<\/h3>\n
\u56fe\u50cf\u5e73\u6ed1（smoothing）\u4e5f\u79f0\u4e3a\u201c\u6a21\u7cca\u5904\u7406\u201d（bluring）
\n\u901a\u8fc7\u6d88\u9664\u56fe\u50cf\u4e2d\u7684\u566a\u58f0\u6216\u7ec6\u8282\u6765\u4f7f\u56fe\u50cf\u770b\u8d77\u6765\u66f4\u4e3a\u6a21\u7cca，\u4ece\u800c\u5b9e\u73b0\u5e73\u6ed1\u6548\u679c
\n\u53ef\u4ee5\u7528\u6765\u538b\u5236\u3001\u5f31\u5316\u6216\u6d88\u9664\u56fe\u50cf\u4e2d\u7684\u7ec6\u8282\u3001\u7a81\u53d8\u548c\u566a\u58f0\u3002
\n\u4e0b\u9762\u662f\u5e38\u7528\u7684\u4e00\u4e9b\u6ee4\u6ce2\u5668
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u5747\u503c\u6ee4\u6ce2（\u90bb\u57df\u5e73\u5747\u6ee4\u6ce2）-> blur\u51fd\u6570
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u65b9\u6846\u6ee4\u6ce2-> boxFilter\u51fd\u6570
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u9ad8\u65af\u6ee4\u6ce2->GaussianBlur\u51fd\u6570
\n\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u4e2d\u503c\u6ee4\u6ce2->medianBlur\u51fd\u6570<\/p>\ndst=cv2.blur(src,ksize,anchor,borderType)<\/p>\n
dst\u662f\u8fd4\u56de\u503c
\nsrc\u662f\u9700\u8981\u5904\u7406\u7684\u56fe\u50cf
\nksize\u662f\u6ee4\u6ce2\u6838（\u5377\u79ef\u6838）\u7684\u5927\u5c0f
\nanchor\u662f\u951a\u70b9，\u9ed8\u8ba4\u503c\u662f（-1，-1）\u4e00\u822c\u65e0\u9700\u66f4\u6539
\nborderType\u662f\u8fb9\u754c\u6837\u5f0f，\u4e00\u822c\u65e0\u9700\u66f4\u6539
\n\u4e00\u822c\u60c5\u51b5\u4e0b，\u4f7f\u7528dst=cv2.blur(src,ksize)\u5373\u53ef<\/p>\n\u51c6\u5907\u4ee3\u7801：<\/p>\n
\u51c6\u5907\u4e00\u4e2a\u542b\u6709\u566a\u58f0\u70b9\u7684\u56fe\u50cf\u6765\u65b9\u4fbf\u540e\u9762\u7684\u6f14\u793a<\/p>\n
# \u5bfc\u5165OpenCV\u5e93，\u7528\u4e8e\u56fe\u50cf\u5904\u7406
\nimport cv2
\n# \u5bfc\u5165numpy\u5e93，\u7528\u4e8e\u6570\u503c\u8ba1\u7b97\u548c\u968f\u673a\u6570\u751f\u6210
\nimport numpy as np<\/p>\n# \u5b9a\u4e49\u6dfb\u52a0\u6912\u76d0\u566a\u58f0\u7684\u51fd\u6570
\n# \u53c2\u6570：
\n# image: \u539f\u59cb\u56fe\u50cf
\n# n: \u566a\u58f0\u70b9\u7684\u6570\u91cf，\u9ed8\u8ba4\u503c\u4e3a10000
\ndef add_peppersalt_noize(image, n=10000):
\n # \u590d\u5236\u539f\u59cb\u56fe\u50cf，\u907f\u514d\u76f4\u63a5\u4fee\u6539\u539f\u56fe
\n result = image.copy()
\n # \u83b7\u53d6\u56fe\u50cf\u7684\u9ad8\u5ea6\u548c\u5bbd\u5ea6（shape[:2]\u53d6\u524d\u4e24\u4e2a\u503c，\u5373\u9ad8\u5ea6\u548c\u5bbd\u5ea6）
\n h, w = image.shape[:2]<\/p>\n# \u5faa\u73afn\u6b21，\u751f\u6210n\u4e2a\u566a\u58f0\u70b9
\n for i in range(n):
\n # \u968f\u673a\u751f\u6210x\u5750\u6807（\u884c），\u8303\u56f4\u57281\u5230h\u4e4b\u95f4
\n x = np.random.randint(1, h)
\n # \u968f\u673a\u751f\u6210y\u5750\u6807（\u5217），\u8303\u56f4\u57281\u5230w\u4e4b\u95f4
\n y = np.random.randint(1, w)<\/p>\n# \u968f\u673a\u751f\u62100\u62161，\u51b3\u5b9a\u662f\u6dfb\u52a0\u6912\u566a\u58f0（0）\u8fd8\u662f\u76d0\u566a\u58f0（255）
\n if np.random.randint(0, 2) == 0:
\n # \u6dfb\u52a0\u6912\u566a\u58f0（\u9ed1\u8272\u70b9）
\n result[x, y] = 0
\n else:
\n # \u6dfb\u52a0\u76d0\u566a\u58f0（\u767d\u8272\u70b9）
\n result[x, y] = 255<\/p>\n# \u8fd4\u56de\u6dfb\u52a0\u566a\u58f0\u540e\u7684\u56fe\u50cf
\n return result<\/p>\n# \u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6'mm.jpg'，\u9ed8\u8ba4\u8bfb\u53d6\u4e3aBGR\u683c\u5f0f
\nimage = cv2.imread('mm.jpg')
\n# \u8c03\u6574\u56fe\u50cf\u5927\u5c0f\u4e3a400×400\u50cf\u7d20
\nimage = cv2.resize(image, (400, 400))<\/p>\n# \u521b\u5efa\u4e00\u4e2a\u7a97\u53e3\u663e\u793a\u539f\u59cb\u56fe\u50cf，\u7a97\u53e3\u540d\u4e3a'mm'
\ncv2.imshow('mm', image)<\/p>\n# \u8c03\u7528\u51fd\u6570\u4e3a\u56fe\u50cf\u6dfb\u52a0\u6912\u76d0\u566a\u58f0
\nnoise = add_peppersalt_noize(image)<\/p>\n# \u521b\u5efa\u4e00\u4e2a\u7a97\u53e3\u663e\u793a\u5e26\u566a\u58f0\u7684\u56fe\u50cf，\u7a97\u53e3\u540d\u4e3a'noise'
\ncv2.imshow('noise', noise)<\/p>\n# \u7b49\u5f85\u7528\u6237\u6309\u4e0b\u4efb\u610f\u952e，\u53c2\u65700\u8868\u793a\u65e0\u9650\u7b49\u5f85
\ncv2.waitKey(0)
\n# \u5173\u95ed\u6240\u6709OpenCV\u521b\u5efa\u7684\u7a97\u53e3（\u867d\u7136\u4ee3\u7801\u4e2d\u6ca1\u5199，\u4f46\u901a\u5e38\u5efa\u8bae\u52a0\u4e0a）
\n# cv2.destroyAllWindows()<\/p>\n1\u3001\u5747\u503c\u6ee4\u6ce2<\/h4>\n
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250814114518-689dcc4eb23bb.png\")
<\/p>\ncv2.blur()\u00a0\u662f OpenCV \u4e2d\u7528\u4e8e\u5b9e\u73b0\u5747\u503c\u6a21\u7cca（\u4e5f\u79f0\u4e3a\u5f52\u4e00\u5316\u76d2\u5f0f\u6ee4\u6ce2）\u7684 API，\u5176\u6838\u5fc3\u539f\u7406\u662f\u7528\u56fe\u50cf\u4e2d\u67d0\u4e00\u50cf\u7d20\u5468\u56f4\u90bb\u57df\u5185\u6240\u6709\u50cf\u7d20\u7684\u5e73\u5747\u503c\u6765\u66ff\u4ee3\u8be5\u50cf\u7d20\u7684\u503c，\u4ece\u800c\u8fbe\u5230\u5e73\u6ed1\u56fe\u50cf\u3001\u964d\u4f4e\u566a\u58f0\u7684\u6548\u679c\u3002<\/p>\n
\u8bed\u6cd5\u683c\u5f0f：<\/p>\n
dst = cv2.blur(src, ksize[, anchor[, borderType]])<\/p>\n
\u53c2\u6570\u8bf4\u660e：<\/p>\n
- \n
src（\u5fc5\u9009）：
\n\u8f93\u5165\u56fe\u50cf（\u6e90\u56fe\u50cf），\u53ef\u4ee5\u662f\u5355\u901a\u9053\u7070\u5ea6\u56fe\u6216\u591a\u901a\u9053\u5f69\u8272\u56fe（\u5982 BGR \u683c\u5f0f）\u3002<\/p>\n<\/li>\n- \n
ksize（\u5fc5\u9009）：
\n\u6a21\u7cca\u6838（\u5377\u79ef\u6838）\u7684\u5927\u5c0f，\u683c\u5f0f\u4e3a\u00a0(width, height)，\u4f8b\u5982\u00a0(3,3)\u00a0\u8868\u793a\u4f7f\u7528 3\u00d73 \u7684\u6b63\u65b9\u5f62\u6838\u3002
\n\u6838\u7684\u5c3a\u5bf8\u8d8a\u5927，\u6a21\u7cca\u6548\u679c\u8d8a\u5f3a，\u4f46\u56fe\u50cf\u7ec6\u8282\u635f\u5931\u4e5f\u8d8a\u591a\u3002<\/p>\n<\/li>\n- \n
anchor（\u53ef\u9009）：
\n\u6838\u7684\u951a\u70b9（\u5373\u8ba1\u7b97\u5747\u503c\u65f6\u7684\u53c2\u8003\u70b9），\u9ed8\u8ba4\u503c\u4e3a\u00a0(-1,-1)，\u8868\u793a\u951a\u70b9\u4f4d\u4e8e\u6838\u7684\u4e2d\u5fc3\u3002<\/p>\n<\/li>\n- \n
borderType（\u53ef\u9009）：
\n\u8fb9\u754c\u586b\u5145\u65b9\u5f0f，\u7528\u4e8e\u5904\u7406\u56fe\u50cf\u8fb9\u7f18\u50cf\u7d20（\u56e0\u4e3a\u8fb9\u7f18\u50cf\u7d20\u6ca1\u6709\u5b8c\u6574\u7684\u90bb\u57df）\u3002
\n\u9ed8\u8ba4\u503c\u4e3a\u00a0cv2.BORDER_DEFAULT，\u5e38\u7528\u9009\u9879\u8fd8\u5305\u62ec\u00a0cv2.BORDER_CONSTANT（\u5e38\u91cf\u586b\u5145）\u3001cv2.BORDER_REPLICATE（\u590d\u5236\u8fb9\u7f18\u50cf\u7d20\u586b\u5145）\u7b49\u3002<\/p>\n<\/li>\n\u793a\u4f8b\u4ee3\u7801（\u63a5\u4e0a\u9762\u7684\u51c6\u5907\u4ee3\u7801）：<\/p>\n
blur_1 = cv2.blur(noise,(3,3))#\u5377\u79ef\u6838\u4e3a（3，3）
\ncv2.imshow('bler_1',blur_1)
\nblur_2 = cv2.blur(noise,(9,9))#\u5377\u79ef\u6838\u4e3a（3，3）
\ncv2.imshow('bler_2',blur_2)
\nblur_3 = cv2.blur(noise,(15,15))#\u5377\u79ef\u6838\u4e3a（3，3）
\ncv2.imshow('bler_3',blur_3)
\nblur_4 = cv2.blur(noise,(21,21))#\u5377\u79ef\u6838\u4e3a（3，3）
\ncv2.imshow('bler_4',blur_4)
\ncv2.waitKey(0)<\/p>\n![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250814114520-689dcc502f6c5.png\")
<\/p>\n2\u3001\u65b9\u6846\u6ee4\u6ce2<\/h4>\n
cv2.boxFilter()\u00a0\u662f OpenCV \u4e2d\u4e00\u4e2a\u7075\u6d3b\u7684\u7ebf\u6027\u6ee4\u6ce2\u51fd\u6570，\u7528\u4e8e\u5b9e\u73b0\u76d2\u5f0f\u6ee4\u6ce2（Box Filter）\u3002\u5b83\u53ef\u4ee5\u770b\u4f5c\u662f\u00a0cv2.blur()\u00a0\u7684\u901a\u7528\u7248\u672c，\u65e2\u53ef\u4ee5\u5b9e\u73b0\u5747\u503c\u6a21\u7cca（\u5f52\u4e00\u5316\u76d2\u5f0f\u6ee4\u6ce2），\u4e5f\u53ef\u4ee5\u5b9e\u73b0\u975e\u5f52\u4e00\u5316\u7684\u76d2\u5f0f\u6ee4\u6ce2（\u4ec5\u5bf9\u90bb\u57df\u50cf\u7d20\u6c42\u548c）\u3002<\/p>\n
\u8bed\u6cd5\u683c\u5f0f：<\/p>\n
dst = cv2.boxFilter(src, ddepth, ksize[, anchor[, normalize[, borderType]]])<\/p>\n
\u53c2\u6570\u8bf4\u660e：<\/p>\n
- \n
src（\u5fc5\u9009）：
\n\u8f93\u5165\u56fe\u50cf（\u6e90\u56fe\u50cf），\u53ef\u4ee5\u662f\u5355\u901a\u9053\u7070\u5ea6\u56fe\u6216\u591a\u901a\u9053\u5f69\u8272\u56fe\u3002<\/p>\n<\/li>\n- \n
ddepth（\u5fc5\u9009）：
\n\u8f93\u51fa\u56fe\u50cf\u7684\u6df1\u5ea6（\u6570\u636e\u7c7b\u578b），\u5e38\u7528\u503c：<\/p>\n- \n
- cv2.CV_8U：8 \u4f4d\u65e0\u7b26\u53f7\u6574\u6570（0-255）<\/li>\n
- cv2.CV_32F：32 \u4f4d\u6d6e\u70b9\u6570<\/li>\n
- -1：\u8868\u793a\u8f93\u51fa\u56fe\u50cf\u6df1\u5ea6\u4e0e\u8f93\u5165\u56fe\u50cf\u76f8\u540c（\u63a8\u8350\u4f7f\u7528）<\/li>\n<\/ul>\n<\/li>\n
- \n
ksize（\u5fc5\u9009）：
\n\u6ee4\u6ce2\u6838（\u5377\u79ef\u6838）\u7684\u5927\u5c0f，\u683c\u5f0f\u4e3a\u00a0(width, height)，\u4f8b\u5982\u00a0(3,3)\u00a0\u8868\u793a 3\u00d73 \u7684\u6838\u3002<\/p>\n<\/li>\n - \n
anchor（\u53ef\u9009）：
\n\u6838\u7684\u951a\u70b9（\u8ba1\u7b97\u6ee4\u6ce2\u65f6\u7684\u53c2\u8003\u70b9），\u9ed8\u8ba4\u503c\u00a0(-1,-1)\u00a0\u8868\u793a\u951a\u70b9\u5728\u6838\u4e2d\u5fc3\u3002<\/p>\n<\/li>\n - \n
normalize（\u53ef\u9009）：
\n\u5e03\u5c14\u503c，\u662f\u5426\u5bf9\u6ee4\u6ce2\u7ed3\u679c\u8fdb\u884c\u5f52\u4e00\u5316：<\/p>\n- \n
- True（\u9ed8\u8ba4）：\u5f52\u4e00\u5316\u76d2\u5f0f\u6ee4\u6ce2，\u5373\u90bb\u57df\u50cf\u7d20\u6c42\u548c\u540e\u9664\u4ee5\u6838\u7684\u9762\u79ef（\u7b49\u4ef7\u4e8e\u00a0cv2.blur()）\u3002<\/li>\n
- False：\u975e\u5f52\u4e00\u5316\u76d2\u5f0f\u6ee4\u6ce2，\u4ec5\u8ba1\u7b97\u90bb\u57df\u50cf\u7d20\u7684\u603b\u548c（\u53ef\u80fd\u5bfc\u81f4\u50cf\u7d20\u503c\u6ea2\u51fa，\u9700\u6ce8\u610f\u6570\u636e\u7c7b\u578b）\u3002<\/li>\n<\/ul>\n<\/li>\n
- \n
borderType（\u53ef\u9009）：
\n\u8fb9\u754c\u586b\u5145\u65b9\u5f0f，\u7528\u4e8e\u5904\u7406\u56fe\u50cf\u8fb9\u7f18\u50cf\u7d20，\u9ed8\u8ba4\u503c\u4e3a\u00a0cv2.BORDER_DEFAULT，\u5176\u4ed6\u5e38\u7528\u9009\u9879\u540c\u00a0cv2.blur()\u3002<\/p>\n<\/li>\n\u529f\u80fd\u8bf4\u660e：<\/p>\n
- \n
- \n
\u5f53\u00a0normalize=True\u00a0\u65f6，cv2.boxFilter()\u00a0\u4e0e\u00a0cv2.blur()\u00a0\u6548\u679c\u5b8c\u5168\u4e00\u81f4，\u90fd\u662f\u8ba1\u7b97\u90bb\u57df\u50cf\u7d20\u7684\u5e73\u5747\u503c：
\ndst(x,y) = (sum of src(x',y') in ksize) \/ (width\u00d7height)<\/p>\n<\/li>\n - \n
\u5f53\u00a0normalize=False\u00a0\u65f6，\u4ec5\u8ba1\u7b97\u90bb\u57df\u50cf\u7d20\u7684\u603b\u548c：
\ndst(x,y) = sum of src(x',y') in ksize
\n\u8fd9\u79cd\u6a21\u5f0f\u4e0b，\u7ed3\u679c\u53ef\u80fd\u8d85\u8fc7\u50cf\u7d20\u503c\u8303\u56f4（\u5982 0-255），\u56e0\u6b64\u901a\u5e38\u9700\u8981\u914d\u5408\u00a0ddepth=cv2.CV_32F\u00a0\u4f7f\u7528，\u907f\u514d\u6ea2\u51fa\u3002<\/p>\n<\/li>\n<\/ul>\n3\u3001\u9ad8\u65af\u6ee4\u6ce2<\/h4>\n
cv2.GaussianBlur()\u00a0\u662f OpenCV \u4e2d\u7528\u4e8e\u5b9e\u73b0\u9ad8\u65af\u6a21\u7cca\u7684 API，\u5176\u6838\u5fc3\u539f\u7406\u662f\u4f7f\u7528\u9ad8\u65af\u6838（\u7b26\u5408\u9ad8\u65af\u5206\u5e03\u7684\u5377\u79ef\u6838）\u5bf9\u56fe\u50cf\u8fdb\u884c\u5377\u79ef\u64cd\u4f5c，\u76f8\u6bd4\u5747\u503c\u6a21\u7cca\u80fd\u66f4\u597d\u5730\u4fdd\u7559\u56fe\u50cf\u7ec6\u8282，\u540c\u65f6\u6709\u6548\u53bb\u9664\u9ad8\u65af\u566a\u58f0\u3002<\/p>\n
\u8bed\u6cd5\u683c\u5f0f：<\/p>\n
dst = cv2.GaussianBlur(src, ksize[, sigmaX[, sigmaY[, borderType]]])<\/p>\n
\u53c2\u6570\u8bf4\u660e：<\/p>\n
- \n
src（\u5fc5\u9009）：
\n\u8f93\u5165\u56fe\u50cf（\u6e90\u56fe\u50cf），\u53ef\u4ee5\u662f\u5355\u901a\u9053\u7070\u5ea6\u56fe\u6216\u591a\u901a\u9053\u5f69\u8272\u56fe（\u5982 BGR \u683c\u5f0f）\u3002<\/p>\n<\/li>\n - \n
ksize（\u5fc5\u9009）：
\n\u9ad8\u65af\u6838\u7684\u5927\u5c0f，\u683c\u5f0f\u4e3a\u00a0(width, height)，\u9700\u6ee1\u8db3：<\/p>\n- \n
- \n
\u5bbd\u5ea6\u548c\u9ad8\u5ea6\u5fc5\u987b\u662f\u6b63\u5947\u6570（\u5982\u00a0(3,3)\u3001(5,5)\u3001(7,7)\u00a0\u7b49）\u3002<\/p>\n<\/li>\n
- \u82e5\u5bbd\u5ea6\u2260\u9ad8\u5ea6，\u6838\u53ef\u4ee5\u662f\u77e9\u5f62（\u5982\u00a0(3,5)），\u4f46\u901a\u5e38\u4f7f\u7528\u6b63\u65b9\u5f62\u6838\u3002
\n\u6838\u7684\u5c3a\u5bf8\u8d8a\u5927，\u6a21\u7cca\u6548\u679c\u8d8a\u5f3a\u3002<\/li>\n<\/ul>\n<\/li>\n - \n
sigmaX（\u53ef\u9009）：
\n\u9ad8\u65af\u6838\u5728 X \u65b9\u5411（\u6c34\u5e73\u65b9\u5411）\u7684\u6807\u51c6\u5dee，\u63a7\u5236\u9ad8\u65af\u5206\u5e03\u7684 "\u5bbd\u7a84"：<\/p>\n- \n
- sigmaX > 0：\u4f7f\u7528\u6307\u5b9a\u503c\u4f5c\u4e3a X \u65b9\u5411\u6807\u51c6\u5dee\u3002<\/li>\n
- sigmaX = 0（\u9ed8\u8ba4）：\u6839\u636e\u6838\u5c3a\u5bf8\u81ea\u52a8\u8ba1\u7b97（sigma = 0.3\u00d7((ksize-1)\u00d70.5 – 1) + 0.8）\u3002<\/li>\n
- sigmaX < 0：\u4e0d\u5408\u6cd5，\u4f1a\u62a5\u9519\u3002<\/li>\n<\/ul>\n<\/li>\n
- \n
sigmaY（\u53ef\u9009）：
\n\u9ad8\u65af\u6838\u5728 Y \u65b9\u5411（\u5782\u76f4\u65b9\u5411）\u7684\u6807\u51c6\u5dee：<\/p>\n- \n
- \u82e5\u672a\u6307\u5b9a\u6216\u4e3a\u00a00：\u9ed8\u8ba4\u4e0e\u00a0sigmaX\u00a0\u76f8\u7b49（\u5404\u5411\u540c\u6027\u9ad8\u65af\u6a21\u7cca）\u3002<\/li>\n
- \u82e5\u00a0sigmaY > 0：\u53ef\u5b9e\u73b0 X\u3001Y \u65b9\u5411\u4e0d\u540c\u5f3a\u5ea6\u7684\u6a21\u7cca（\u5404\u5411\u5f02\u6027）\u3002<\/li>\n<\/ul>\n<\/li>\n
- \n
borderType（\u53ef\u9009）：
\n\u8fb9\u754c\u586b\u5145\u65b9\u5f0f，\u5904\u7406\u56fe\u50cf\u8fb9\u7f18\u50cf\u7d20，\u9ed8\u8ba4\u503c\u4e3a\u00a0cv2.BORDER_DEFAULT，\u5176\u4ed6\u9009\u9879\u540c\u00a0cv2.blur()\u3002<\/p>\n<\/li>\n\u793a\u4f8b\u4ee3\u7801（\u63a5\u4e0a\u9762\u7684\u51c6\u5907\u4ee3\u7801）：<\/p>\n
GaussianB = cv2.GaussianBlur(noise, ksize=(3,3), sigmaX=1) # \u6807\u51c6\u6b63\u6001\u5206\u5e03\u30013\u30013\u3001\u9ad8\u65af\u6ee4\u6ce2
\ncv2.imshow(winname='GaussianBlur', mat=GaussianB)
\ncv2.waitKey(0)<\/p>\n![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250814114533-689dcc5d93f3f.png\")
<\/p>\n<\/p>\n4\u3001\u4e2d\u503c\u6ee4\u6ce2<\/h4>\n
cv2.medianBlur()\u00a0\u662f OpenCV \u4e2d\u7528\u4e8e\u5b9e\u73b0\u4e2d\u503c\u6ee4\u6ce2\u7684 API，\u5176\u6838\u5fc3\u539f\u7406\u662f\u7528\u56fe\u50cf\u4e2d\u67d0\u4e00\u50cf\u7d20\u5468\u56f4\u90bb\u57df\u5185\u6240\u6709\u50cf\u7d20\u7684\u4e2d\u503c\u6765\u66ff\u4ee3\u8be5\u50cf\u7d20\u7684\u503c\u3002\u8fd9\u79cd\u6ee4\u6ce2\u65b9\u5f0f\u5bf9\u6912\u76d0\u566a\u58f0（\u56fe\u50cf\u4e2d\u968f\u673a\u51fa\u73b0\u7684\u9ed1\u767d\u70b9）\u6709\u975e\u5e38\u597d\u7684\u53bb\u9664\u6548\u679c，\u540c\u65f6\u80fd\u8f83\u597d\u5730\u4fdd\u7559\u56fe\u50cf\u8fb9\u7f18\u7ec6\u8282\u3002<\/p>\n
\u8bed\u6cd5\u683c\u5f0f：<\/p>\n
dst = cv2.medianBlur(src, ksize[, dst])<\/p>\n
\u53c2\u6570\u8bf4\u660e：<\/p>\n
- \n
src（\u5fc5\u9009）：
\n\u8f93\u5165\u56fe\u50cf（\u6e90\u56fe\u50cf），\u53ef\u4ee5\u662f\u5355\u901a\u9053\u7070\u5ea6\u56fe\u6216\u591a\u901a\u9053\u5f69\u8272\u56fe（\u5982 BGR \u683c\u5f0f）\u3002
\n\u6ce8\u610f：\u8be5\u51fd\u6570\u4ec5\u652f\u6301 8 \u4f4d\u5355\u901a\u9053\u56fe\u50cf\u300116 \u4f4d\u5355\u901a\u9053\u56fe\u50cf（CV_16U）\u6216 32 \u4f4d\u6d6e\u70b9\u5355\u901a\u9053\u56fe\u50cf（CV_32F）\u3002\u5bf9\u4e8e\u591a\u901a\u9053\u56fe\u50cf，\u4f1a\u5bf9\u6bcf\u4e2a\u901a\u9053\u5206\u522b\u8fdb\u884c\u4e2d\u503c\u6ee4\u6ce2\u3002<\/p>\n<\/li>\n - \n
ksize（\u5fc5\u9009）：
\n\u6ee4\u6ce2\u6838\u7684\u5927\u5c0f，\u5fc5\u987b\u662f\u5927\u4e8e 1 \u7684\u6b63\u5947\u6570（\u5982\u00a03\u30015\u30017\u00a0\u7b49），\u8868\u793a\u4f7f\u7528\u00a0ksize\u00d7ksize\u00a0\u7684\u6b63\u65b9\u5f62\u6838\u3002
\n\u6838\u7684\u5c3a\u5bf8\u8d8a\u5927，\u53bb\u566a\u6548\u679c\u8d8a\u5f3a，\u4f46\u56fe\u50cf\u7ec6\u8282\u635f\u5931\u4e5f\u53ef\u80fd\u8d8a\u591a\u3002<\/p>\n<\/li>\n - \n
dst（\u53ef\u9009）：
\n\u8f93\u51fa\u56fe\u50cf，\u4e0e\u8f93\u5165\u56fe\u50cf\u5177\u6709\u76f8\u540c\u7684\u5c3a\u5bf8\u548c\u7c7b\u578b，\u901a\u5e38\u4e0d\u9700\u8981\u624b\u52a8\u6307\u5b9a，\u51fd\u6570\u4f1a\u81ea\u52a8\u521b\u5efa\u5e76\u8fd4\u56de\u3002<\/p>\n<\/li>\n\u529f\u80fd\u539f\u7406：<\/p>\n
\u4e2d\u503c\u6ee4\u6ce2\u7684\u8ba1\u7b97\u8fc7\u7a0b：<\/p>\n<\/p>\n
- \u4ee5\u76ee\u6807\u50cf\u7d20\u4e3a\u4e2d\u5fc3，\u53d6\u00a0ksize\u00d7ksize\u00a0\u5927\u5c0f\u7684\u90bb\u57df\u7a97\u53e3；<\/li>\n
- \u5c06\u7a97\u53e3\u5185\u6240\u6709\u50cf\u7d20\u503c\u6309\u5927\u5c0f\u6392\u5e8f；<\/li>\n
- \u53d6\u6392\u5e8f\u540e\u7684\u4e2d\u95f4\u503c\u4f5c\u4e3a\u76ee\u6807\u50cf\u7d20\u7684\u65b0\u503c\u3002<\/li>\n
\u4f8b\u5982，\u4f7f\u7528 3\u00d73 \u6838\u65f6，\u4f1a\u5bf9 9 \u4e2a\u50cf\u7d20\u503c\u6392\u5e8f，\u53d6\u7b2c 5 \u4e2a\u503c（\u4e2d\u95f4\u503c）\u4f5c\u4e3a\u7ed3\u679c\u3002<\/p>\n
\u793a\u4f8b\u4ee3\u7801（\u63a5\u4e0a\u9762\u7684\u51c6\u5907\u4ee3\u7801）：<\/p>\n
medianB = cv2.medianBlur(noise, ksize=3) # 4\u3001\u4e2d\u503c\u6ee4\u6ce2
\ncv2.imshow(winname='medianBlur', mat=medianB)
\ncv2.waitKey(0)
\ncv2.destroyAllWindows()<\/p>\n![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2025\/08\/20250814114541-689dcc65e64d9.png\")
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