{"id":92219,"date":"2026-08-09T19:17:11","date_gmt":"2026-08-09T11:17:11","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/92219.html"},"modified":"2026-08-09T19:17:11","modified_gmt":"2026-08-09T11:17:11","slug":"opencv%e5%9f%ba%e7%a1%80%e5%85%a5%e9%97%a84%ef%bc%9a%e8%bd%ae%e5%bb%93%e6%a3%80%e6%b5%8b%e4%b8%8e%e6%a8%a1%e6%9d%bf%e5%8c%b9%e9%85%8d","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/92219.html","title":{"rendered":"OpenCV\u57fa\u7840\u5165\u95e84\uff1a\u8f6e\u5ed3\u68c0\u6d4b\u4e0e\u6a21\u677f\u5339\u914d"},"content":{"rendered":"

\u4e00\u3001\u8f6e\u5ed3\u68c0\u6d4b\u57fa\u7840<\/h3>\n

1.1 \u4ec0\u4e48\u662f\u8f6e\u5ed3？<\/h4>\n

\u8f6e\u5ed3\u53ef\u4ee5\u7b80\u5355\u7406\u89e3\u4e3a\u8fde\u7eed\u7684\u70b9\u7ec4\u6210\u7684\u66f2\u7ebf，\u8fd9\u4e9b\u70b9\u5177\u6709\u76f8\u540c\u7684\u989c\u8272\u6216\u7070\u5ea6\u503c\u3002\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u4e2d，\u8f6e\u5ed3\u662f\u5f62\u72b6\u5206\u6790\u548c\u7269\u4f53\u68c0\u6d4b\u4e0e\u8bc6\u522b\u7684\u5173\u952e\u57fa\u7840\u3002\u901a\u8fc7\u8f6e\u5ed3\u5206\u6790，\u6211\u4eec\u53ef\u4ee5\u8bc6\u522b\u7269\u4f53\u7684\u5f62\u72b6\u3001\u8ba1\u7b97\u5176\u9762\u79ef\u548c\u5468\u957f，\u5e76\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u56fe\u50cf\u5904\u7406\u3002<\/p>\n

1.2 \u6838\u5fc3API：cv2.findContours()<\/h4>\n

image,<\/span> contours,<\/span> hierarchy =<\/span> cv2.<\/span>findContours(<\/span>img,<\/span> mode,<\/span> method)<\/span><\/p>\n

\u53c2\u6570\u8be6\u89e3：<\/p>\n\n\u53c2\u6570\u8bf4\u660e<\/tr>\n\n\n\n\n
img<\/td>\n\u9700\u8981\u68c0\u6d4b\u7684\u539f\u56fe（\u5fc5\u987b\u662f\u4e8c\u503c\u56fe\u50cf）<\/td>\n<\/tr>\n
mode<\/td>\n\u8f6e\u5ed3\u68c0\u7d22\u6a21\u5f0f<\/td>\n<\/tr>\n
method<\/td>\n\u8f6e\u5ed3\u8fd1\u4f3c\u65b9\u6cd5<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

mode（\u68c0\u7d22\u6a21\u5f0f）\u5bf9\u6bd4：<\/p>\n\n\u6a21\u5f0f\u8bf4\u660e<\/tr>\n\n\n\n\n\n
cv2.RETR_EXTERNAL<\/td>\n\u53ea\u68c0\u6d4b\u5916\u8f6e\u5ed3，\u5ffd\u7565\u6240\u6709\u5b50\u8f6e\u5ed3<\/td>\n<\/tr>\n
cv2.RETR_LIST<\/td>\n\u4e0d\u5efa\u7acb\u7b49\u7ea7\u5173\u7cfb，\u6240\u6709\u8f6e\u5ed3\u540c\u5c5e\u4e00\u7ea7<\/td>\n<\/tr>\n
cv2.RETR_CCOMP<\/td>\n\u5efa\u7acb\u4e24\u7ea7\u7ec4\u7ec7\u7ed3\u6784（\u5916\u8f6e\u5ed3\u4e3a1\u7ea7，\u5185\u5b54\u4e3a2\u7ea7）<\/td>\n<\/tr>\n
cv2.RETR_TREE<\/td>\n\u5efa\u7acb\u5b8c\u6574\u7684\u6811\u5f62\u7ec4\u7ec7\u7ed3\u6784（\u6700\u5e38\u7528）<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

method（\u8fd1\u4f3c\u65b9\u6cd5）\u5bf9\u6bd4：<\/p>\n\n\u65b9\u6cd5\u8bf4\u660e<\/tr>\n\n\n\n
cv2.CHAIN_APPROX_NONE<\/td>\n\u5b58\u50a8\u6240\u6709\u8f6e\u5ed3\u70b9<\/td>\n<\/tr>\n
cv2.CHAIN_APPROX_SIMPLE<\/td>\n\u538b\u7f29\u5b58\u50a8，\u53ea\u4fdd\u7559\u5173\u952e\u70b9（\u5982\u77e9\u5f62\u53ea\u5b584\u4e2a\u70b9）<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u8fd4\u56de\u503c\u8bf4\u660e：<\/p>\n

    \n
  • image：\u5904\u7406\u540e\u7684\u539f\u56fe<\/li>\n
  • contours：\u6240\u6709\u8f6e\u5ed3\u7684\u5217\u8868，\u6bcf\u4e2a\u8f6e\u5ed3\u4ee5numpy\u6570\u7ec4\u5b58\u50a8\u8fb9\u754c\u70b9\u5750\u6807<\/li>\n
  • hierarchy：\u8f6e\u5ed3\u5c42\u6b21\u7ed3\u6784 [Next, Previous, First Child, Parent]<\/li>\n<\/ul>\n

    1.3 \u5b8c\u6574\u793a\u4f8b：\u8f6e\u5ed3\u68c0\u6d4b\u4e0e\u7ed8\u5236<\/h4>\n

    \u5728\u7ed8\u5236\u8f6e\u5ed3\u4e4b\u524d，\u6211\u4eec\u5148\u4e86\u89e3 cv2.drawContours() \u51fd\u6570\u7684\u8be6\u7ec6\u53c2\u6570：<\/p>\n

    cv2.<\/span>drawContours(<\/span>image,<\/span> contours,<\/span> contourIdx,<\/span> color,<\/span> thickness=<\/span>None<\/span>,<\/span>
    \n lineType=<\/span>None<\/span>,<\/span> hierarchy=<\/span>None<\/span>,<\/span> maxLevel=<\/span>None<\/span>,<\/span> offset=<\/span>None<\/span>)<\/span><\/p>\n

    \u53c2\u6570\u8be6\u89e3：<\/p>\n\n\u53c2\u6570\u8bf4\u660e<\/tr>\n\n\n\n\n\n\n\n\n\n\n
    image<\/td>\n\u8981\u5728\u5176\u4e0a\u7ed8\u5236\u8f6e\u5ed3\u7684\u8f93\u5165\u56fe\u50cf<\/td>\n<\/tr>\n
    contours<\/td>\n\u8f6e\u5ed3\u5217\u8868，\u901a\u5e38\u7531 cv2.findContours() \u51fd\u6570\u8fd4\u56de<\/td>\n<\/tr>\n
    contourIdx<\/td>\n\u8981\u7ed8\u5236\u7684\u8f6e\u5ed3\u7684\u7d22\u5f15\u3002\u5982\u679c\u4e3a\u8d1f\u6570（\u5982 -1），\u5219\u7ed8\u5236\u6240\u6709\u8f6e\u5ed3<\/td>\n<\/tr>\n
    color<\/td>\n\u8f6e\u5ed3\u7684\u989c\u8272，\u4ee5 BGR \u683c\u5f0f\u8868\u793a\u3002\u4f8b\u5982，(0, 255, 0) \u8868\u793a\u7eff\u8272<\/td>\n<\/tr>\n
    thickness<\/td>\n\u8f6e\u5ed3\u7ebf\u7684\u7c97\u7ec6\u3002\u9ed8\u8ba4\u503c\u4e3a 1<\/td>\n<\/tr>\n
    lineType<\/td>\n\u8f6e\u5ed3\u7ebf\u7684\u7c7b\u578b\u3002\u9ed8\u8ba4\u503c\u4e3a cv2.LINE_8<\/td>\n<\/tr>\n
    hierarchy<\/td>\n\u8f6e\u5ed3\u5c42\u6b21\u7ed3\u6784\u3002\u901a\u5e38\u7531 cv2.findContours() \u51fd\u6570\u8fd4\u56de<\/td>\n<\/tr>\n
    maxLevel<\/td>\n\u7ed8\u5236\u7684\u6700\u5927\u8f6e\u5ed3\u5c42\u7ea7\u3002\u9ed8\u8ba4\u503c\u4e3a None，\u8868\u793a\u7ed8\u5236\u6240\u6709\u5c42\u7ea7<\/td>\n<\/tr>\n
    offset<\/td>\n\u8f6e\u5ed3\u70b9\u7684\u504f\u79fb\u91cf\u3002\u9ed8\u8ba4\u503c\u4e3a None<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u5b8c\u6574\u793a\u4f8b\u4ee3\u7801：<\/p>\n

    import<\/span> cv2<\/p>\n

    # 1. \u8bfb\u53d6\u56fe\u7247\u5e76\u8f6c\u4e3a\u7070\u5ea6\u56fe<\/span>
    \nphone =<\/span> cv2.<\/span>imread(<\/span>'phone.png'<\/span>)<\/span>
    \nphone_gray =<\/span> cv2.<\/span>cvtColor(<\/span>phone,<\/span> cv2.<\/span>COLOR_BGR2GRAY)<\/span><\/p>\n

    # 2. \u4e8c\u503c\u5316\u5904\u7406（\u5173\u952e\u6b65\u9aa4！）<\/span>
    \nret,<\/span> phone_binary =<\/span> cv2.<\/span>threshold(<\/span>phone_gray,<\/span> 120<\/span>,<\/span> 255<\/span>,<\/span> cv2.<\/span>THRESH_BINARY)<\/span><\/p>\n

    # 3. \u68c0\u6d4b\u8f6e\u5ed3<\/span>
    \ncontours =<\/span> cv2.<\/span>findContours(<\/span>phone_binary,<\/span> cv2.<\/span>RETR_TREE,<\/span> cv2.<\/span>CHAIN_APPROX_NONE)<\/span>[<\/span>–<\/span>2<\/span>]<\/span>
    \nprint<\/span>(<\/span>f"\u68c0\u6d4b\u5230 <\/span>{<\/span>len<\/span>(<\/span>contours)<\/span>}<\/span><\/span> \u4e2a\u8f6e\u5ed3"<\/span><\/span>)<\/span><\/p>\n

    # 4. \u7ed8\u5236\u8f6e\u5ed3<\/span>
    \nimage_copy =<\/span> phone.<\/span>copy(<\/span>)<\/span>
    \ncv2.<\/span>drawContours(<\/span>
    \n image=<\/span>image_copy,<\/span>
    \n contours=<\/span>contours,<\/span>
    \n contourIdx=<\/span>–<\/span>1<\/span>,<\/span> # -1 \u8868\u793a\u7ed8\u5236\u6240\u6709\u8f6e\u5ed3<\/span>
    \n color=<\/span>(<\/span>0<\/span>,<\/span> 255<\/span>,<\/span> 0<\/span>)<\/span>,<\/span> # BGR\u683c\u5f0f，\u7eff\u8272<\/span>
    \n thickness=<\/span>2<\/span>
    \n)<\/span>
    \ncv2.<\/span>imshow(<\/span>'Contours'<\/span>,<\/span> image_copy)<\/span>
    \ncv2.<\/span>waitKey(<\/span>0<\/span>)<\/span><\/p>\n

    \u4e8c\u3001\u8f6e\u5ed3\u7279\u5f81\u5206\u6790<\/h3>\n

    2.1 \u8f6e\u5ed3\u9762\u79ef\u4e0e\u5468\u957f<\/h4>\n

    # \u8ba1\u7b97\u9762\u79ef<\/span>
    \narea =<\/span> cv2.<\/span>contourArea(<\/span>contours[<\/span>0<\/span>]<\/span>)<\/span>
    \nprint<\/span>(<\/span>f"\u9762\u79ef: <\/span>{<\/span>area}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

    # \u8ba1\u7b97\u5468\u957f（closed=True \u8868\u793a\u95ed\u5408）<\/span>
    \nperimeter =<\/span> cv2.<\/span>arcLength(<\/span>contours[<\/span>0<\/span>]<\/span>,<\/span> closed=<\/span>True<\/span>)<\/span>
    \nprint<\/span>(<\/span>f"\u5468\u957f: <\/span>{<\/span>perimeter}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

    2.2 \u6839\u636e\u9762\u79ef\u7b5b\u9009\u8f6e\u5ed3<\/h4>\n

    # \u7b5b\u9009\u9762\u79ef\u5927\u4e8e10000\u7684\u8f6e\u5ed3<\/span>
    \nlarge_contours =<\/span> [<\/span>]<\/span>
    \nfor<\/span> c in<\/span> contours:<\/span>
    \n if<\/span> cv2.<\/span>contourArea(<\/span>c)<\/span> ><\/span> 10000<\/span>:<\/span>
    \n large_contours.<\/span>append(<\/span>c)<\/span><\/p>\n

    # \u6309\u9762\u79ef\u6392\u5e8f，\u53d6\u6700\u5927\u7684<\/span>
    \nsorted_contours =<\/span> sorted<\/span>(<\/span>contours,<\/span> key=<\/span>cv2.<\/span>contourArea,<\/span> reverse=<\/span>True<\/span>)<\/span>
    \nlargest_contour =<\/span> sorted_contours[<\/span>0<\/span>]<\/span><\/p>\n

    2.3 \u5916\u63a5\u77e9\u5f62\u4e0e\u6700\u5c0f\u5916\u63a5\u5706<\/h4>\n

    cnt =<\/span> contours[<\/span>6<\/span>]<\/span> # \u53d6\u7b2c7\u4e2a\u8f6e\u5ed3<\/span><\/p>\n

    # \u5916\u63a5\u77e9\u5f62<\/span>
    \nx,<\/span> y,<\/span> w,<\/span> h =<\/span> cv2.<\/span>boundingRect(<\/span>cnt)<\/span>
    \ncv2.<\/span>rectangle(<\/span>phone,<\/span> (<\/span>x,<\/span> y)<\/span>,<\/span> (<\/span>x+<\/span>w,<\/span> y+<\/span>h)<\/span>,<\/span> (<\/span>0<\/span>,<\/span> 255<\/span>,<\/span> 0<\/span>)<\/span>,<\/span> 2<\/span>)<\/span><\/p>\n

    # \u6700\u5c0f\u5916\u63a5\u5706<\/span>
    \n(<\/span>x,<\/span> y)<\/span>,<\/span> radius =<\/span> cv2.<\/span>minEnclosingCircle(<\/span>cnt)<\/span>
    \ncv2.<\/span>circle(<\/span>phone,<\/span> (<\/span>int<\/span>(<\/span>x)<\/span>,<\/span> int<\/span>(<\/span>y)<\/span>)<\/span>,<\/span> int<\/span>(<\/span>radius)<\/span>,<\/span> (<\/span>0<\/span>,<\/span> 255<\/span>,<\/span> 0<\/span>)<\/span>,<\/span> 2<\/span>)<\/span><\/p>\n

    \u4e09\u3001\u8f6e\u5ed3\u8fd1\u4f3c<\/h3>\n

    \u8f6e\u5ed3\u8fd1\u4f3c\u662f\u591a\u8fb9\u5f62\u62df\u5408\u7684\u8fc7\u7a0b，\u7528\u66f4\u5c11\u7684\u70b9\u6765\u8868\u793a\u8f6e\u5ed3，\u5bf9\u4e8e\u5f62\u72b6\u8bc6\u522b\u548c\u538b\u7f29\u975e\u5e38\u6709\u7528\u3002<\/p>\n

    3.1 \u6838\u5fc3API：cv2.approxPolyDP()<\/h4>\n

    approx =<\/span> cv2.<\/span>approxPolyDP(<\/span>curve,<\/span> epsilon,<\/span> closed)<\/span><\/p>\n

    \u53c2\u6570\u8bf4\u660e：<\/p>\n

      \n
    • curve：\u8f93\u5165\u8f6e\u5ed3<\/li>\n
    • epsilon：\u8fd1\u4f3c\u7cbe\u5ea6（\u8d8a\u5c0f\u8d8a\u63a5\u8fd1\u539f\u8f6e\u5ed3，\u8d8a\u5927\u8d8a\u7c97\u7cd9）<\/li>\n
    • closed：\u662f\u5426\u95ed\u5408<\/li>\n<\/ul>\n

      3.2 \u5b8c\u6574\u793a\u4f8b<\/h4>\n

      import<\/span> cv2<\/p>\n

      phone =<\/span> cv2.<\/span>imread(<\/span>'phone.png'<\/span>)<\/span>
      \nphone_gray =<\/span> cv2.<\/span>cvtColor(<\/span>phone,<\/span> cv2.<\/span>COLOR_BGR2GRAY)<\/span>
      \nret,<\/span> phone_thresh =<\/span> cv2.<\/span>threshold(<\/span>phone_gray,<\/span> 120<\/span>,<\/span> 255<\/span>,<\/span> cv2.<\/span>THRESH_BINARY)<\/span>
      \ncontours =<\/span> cv2.<\/span>findContours(<\/span>phone_thresh,<\/span> cv2.<\/span>RETR_TREE,<\/span> cv2.<\/span>CHAIN_APPROX_NONE)<\/span>[<\/span>–<\/span>2<\/span>]<\/span><\/p>\n

      # epsilon = 0.0001 * \u8f6e\u5ed3\u5468\u957f（\u7cbe\u5ea6\u975e\u5e38\u9ad8）<\/span>
      \nepsilon =<\/span> 0.0001<\/span> *<\/span> cv2.<\/span>arcLength(<\/span>contours[<\/span>0<\/span>]<\/span>,<\/span> True<\/span>)<\/span>
      \napprox =<\/span> cv2.<\/span>approxPolyDP(<\/span>contours[<\/span>0<\/span>]<\/span>,<\/span> epsilon,<\/span> True<\/span>)<\/span><\/p>\n

      print<\/span>(<\/span>f"\u539f\u59cb\u8f6e\u5ed3\u70b9\u6570: <\/span>{<\/span>contours[<\/span>0<\/span>]<\/span>.<\/span>shape}<\/span><\/span>"<\/span><\/span>)<\/span>
      \nprint<\/span>(<\/span>f"\u8fd1\u4f3c\u540e\u8f6e\u5ed3\u70b9\u6570: <\/span>{<\/span>approx.<\/span>shape}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

      # \u7ed8\u5236\u8fd1\u4f3c\u8f6e\u5ed3（\u7eff\u8272）<\/span>
      \nphone_new =<\/span> phone.<\/span>copy(<\/span>)<\/span>
      \ncv2.<\/span>drawContours(<\/span>phone_new,<\/span> [<\/span>approx]<\/span>,<\/span> –<\/span>1<\/span>,<\/span> (<\/span>0<\/span>,<\/span> 255<\/span>,<\/span> 0<\/span>)<\/span>,<\/span> 3<\/span>)<\/span>
      \ncv2.<\/span>imshow(<\/span>'Approx'<\/span>,<\/span> phone_new)<\/span>
      \ncv2.<\/span>waitKey(<\/span>0<\/span>)<\/span><\/p>\n

      \u56db\u3001\u5b9e\u6218\u6848\u4f8b：\u82b1\u6735\u8f6e\u5ed3\u68c0\u6d4b\u4e0e\u8fd1\u4f3c<\/h3>\n

      4.1 \u4f5c\u4e1a\u8981\u6c42<\/h4>\n

      \u7ed9\u5b9a\u56fe\u7247 hua.png，\u5728\u540c\u4e00\u7a97\u53e3\u5185\u5b8c\u6210：<\/p>\n

        \n
      • \u7528\u7ea2\u8272\u753b\u51fa\u82b1\u7684\u5916\u90e8\u8f6e\u5ed3<\/li>\n
      • \u7528\u7eff\u8272\u753b\u51fa\u5176\u8fd1\u4f3c\u8f6e\u5ed3（\u03b5 = 0.005 \u00d7 \u5468\u957f）<\/li>\n<\/ul>\n

        4.2 \u4ee3\u7801\u5b9e\u73b0<\/h4>\n

        import<\/span> cv2<\/p>\n

        # \u8bfb\u53d6\u5e76\u8f6c\u4e3a\u7070\u5ea6\u56fe<\/span>
        \nhua =<\/span> cv2.<\/span>imread(<\/span>'hua.png'<\/span>)<\/span>
        \nhua_gray =<\/span> cv2.<\/span>cvtColor(<\/span>hua,<\/span> cv2.<\/span>COLOR_BGR2GRAY)<\/span><\/p>\n

        # \u4e8c\u503c\u5316\u5904\u7406（\u6ce8\u610f\u4f7f\u7528 THRESH_TOZERO_INV）<\/span>
        \nret,<\/span> hua_binary =<\/span> cv2.<\/span>threshold(<\/span>hua_gray,<\/span> 240<\/span>,<\/span> 255<\/span>,<\/span> cv2.<\/span>THRESH_TOZERO_INV)<\/span>
        \ncv2.<\/span>imshow(<\/span>'Binary'<\/span>,<\/span> hua_binary)<\/span>
        \ncv2.<\/span>waitKey(<\/span>0<\/span>)<\/span><\/p>\n

        # \u8f6e\u5ed3\u68c0\u6d4b（\u53ea\u68c0\u6d4b\u5916\u8f6e\u5ed3）<\/span>
        \ncontours =<\/span> cv2.<\/span>findContours(<\/span>hua_binary,<\/span> cv2.<\/span>RETR_EXTERNAL,<\/span> cv2.<\/span>CHAIN_APPROX_NONE)<\/span>[<\/span>–<\/span>2<\/span>]<\/span>
        \nprint<\/span>(<\/span>f"\u68c0\u6d4b\u5230 <\/span>{<\/span>len<\/span>(<\/span>contours)<\/span>}<\/span><\/span> \u4e2a\u8f6e\u5ed3"<\/span><\/span>)<\/span><\/p>\n

        # \u8fd1\u4f3c\u5904\u7406<\/span>
        \nepsilon =<\/span> 0.005<\/span> *<\/span> cv2.<\/span>arcLength(<\/span>contours[<\/span>0<\/span>]<\/span>,<\/span> True<\/span>)<\/span>
        \napprox =<\/span> cv2.<\/span>approxPolyDP(<\/span>contours[<\/span>0<\/span>]<\/span>,<\/span> epsilon,<\/span> True<\/span>)<\/span><\/p>\n

        # \u7ed8\u5236\u7ed3\u679c<\/span>
        \nimage_copy =<\/span> hua.<\/span>copy(<\/span>)<\/span>
        \ncv2.<\/span>drawContours(<\/span>image_copy,<\/span> contours,<\/span> –<\/span>1<\/span>,<\/span> (<\/span>0<\/span>,<\/span> 0<\/span>,<\/span> 255<\/span>)<\/span>,<\/span> 2<\/span>)<\/span> # \u7ea2\u8272 – \u539f\u59cb\u8f6e\u5ed3<\/span>
        \ncv2.<\/span>drawContours(<\/span>image_copy,<\/span> [<\/span>approx]<\/span>,<\/span> –<\/span>1<\/span>,<\/span> (<\/span>0<\/span>,<\/span> 255<\/span>,<\/span> 0<\/span>)<\/span>,<\/span> 3<\/span>)<\/span> # \u7eff\u8272 – \u8fd1\u4f3c\u8f6e\u5ed3<\/span><\/p>\n

        cv2.<\/span>imshow(<\/span>'Final Result'<\/span>,<\/span> image_copy)<\/span>
        \ncv2.<\/span>waitKey(<\/span>0<\/span>)<\/span>
        \ncv2.<\/span>destroyAllWindows(<\/span>)<\/span><\/p>\n

        \u4e94\u3001\u6a21\u677f\u5339\u914d<\/h3>\n

        \u6a21\u677f\u5339\u914d\u662f\u4e00\u79cd\u5728\u56fe\u50cf\u4e2d\u5bfb\u627e\u4e0e\u6a21\u677f\u6700\u76f8\u4f3c\u533a\u57df\u7684\u6280\u672f\u3002<\/p>\n

        5.1 \u6838\u5fc3API：cv2.matchTemplate()<\/h4>\n

        result =<\/span> cv2.<\/span>matchTemplate(<\/span>image,<\/span> templ,<\/span> method)<\/span><\/p>\n

        \u5339\u914d\u65b9\u6cd5\u5bf9\u6bd4：
        \nTM_SQDIFF_NORMED：\u5f52\u4e00\u5316\u5e73\u65b9\u5dee\u5339\u914d\u6cd5，\u5339\u914d\u8d8a\u597d，\u503c\u8d8a\u5c0f;\u5339\u914d\u8d8a\u5dee，\u503c\u8d8a\u5927\u3002
        \nTM_CCORR_NORMED ：\u5f52\u4e00\u5316\u76f8\u5173\u5339\u914d\u6cd5，\u6570\u503c\u8d8a\u5927\u8868\u660e\u5339\u914d\u7a0b\u5ea6\u8d8a\u597d\u3002
        \nTM_CCOEFF_NORMED ：\u5f52\u4e00\u5316\u76f8\u5173\u7cfb\u6570\u5339\u914d\u6cd5，\u6570\u503c\u8d8a\u5927\u8868\u660e\u5339\u914d\u7a0b\u5ea6\u8d8a\u597d\u3002<\/p>\n\n\u65b9\u6cd5\u6570\u503c\u542b\u4e49\u6700\u4f73\u5339\u914d<\/tr>\n\n\n\n\n
        TM_SQDIFF \/ TM_SQDIFF_NORMED<\/td>\n\u5e73\u65b9\u5dee<\/td>\n\u503c\u6700\u5c0f<\/td>\n<\/tr>\n
        TM_CCORR \/ TM_CCORR_NORMED<\/td>\n\u76f8\u5173\u6027<\/td>\n\u503c\u6700\u5927<\/td>\n<\/tr>\n
        TM_CCOEFF \/ TM_CCOEFF_NORMED<\/td>\n\u76f8\u5173\u7cfb\u6570<\/td>\n\u503c\u6700\u5927<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        5.2 \u5b8c\u6574\u793a\u4f8b<\/h4>\n

        import<\/span> cv2<\/p>\n

        kele =<\/span> cv2.<\/span>imread(<\/span>'kele.png'<\/span>)<\/span>
        \ntemplate =<\/span> cv2.<\/span>imread(<\/span>'template.png'<\/span>)<\/span>
        \nh,<\/span> w =<\/span> template.<\/span>shape[<\/span>:<\/span>2<\/span>]<\/span><\/p>\n

        # \u6a21\u677f\u5339\u914d（\u4f7f\u7528\u5f52\u4e00\u5316\u76f8\u5173\u7cfb\u6570）<\/span>
        \nres =<\/span> cv2.<\/span>matchTemplate(<\/span>kele,<\/span> template,<\/span> cv2.<\/span>TM_CCOEFF_NORMED)<\/span><\/p>\n

        # \u83b7\u53d6\u6700\u4f73\u5339\u914d\u4f4d\u7f6e<\/span>
        \nmin_val,<\/span> max_val,<\/span> min_loc,<\/span> max_loc =<\/span> cv2.<\/span>minMaxLoc(<\/span>res)<\/span>
        \ntop_left =<\/span> max_loc
        \nbottom_right =<\/span> (<\/span>top_left[<\/span>0<\/span>]<\/span> +<\/span> w,<\/span> top_left[<\/span>1<\/span>]<\/span> +<\/span> h)<\/span><\/p>\n

        # \u7ed8\u5236\u77e9\u5f62\u6846<\/span>
        \ncv2.<\/span>rectangle(<\/span>kele,<\/span> top_left,<\/span> bottom_right,<\/span> (<\/span>0<\/span>,<\/span> 255<\/span>,<\/span> 0<\/span>)<\/span>,<\/span> 2<\/span>)<\/span>
        \ncv2.<\/span>imshow(<\/span>'Result'<\/span>,<\/span> kele)<\/span>
        \ncv2.<\/span>waitKey(<\/span>0<\/span>)<\/span><\/p>\n

        \u516d\u3001\u7269\u4f53\u8ffd\u8e2a（\u5b9e\u65f6）<\/h3>\n

        \u57fa\u4e8eCSRT\u8ffd\u8e2a\u5668\u7684\u5b9e\u65f6\u7269\u4f53\u8ffd\u8e2a\u793a\u4f8b：<\/p>\n

        import<\/span> cv2<\/p>\n

        # \u521b\u5efaCSRT\u8ffd\u8e2a\u5668<\/span>
        \ntrack =<\/span> cv2.<\/span>TrackerCSRT_create(<\/span>)<\/span>
        \ntracking =<\/span> False<\/span><\/p>\n

        cap =<\/span> cv2.<\/span>VideoCapture(<\/span>0<\/span>)<\/span><\/p>\n

        while<\/span> True<\/span>:<\/span>
        \n ret,<\/span> frame =<\/span> cap.<\/span>read(<\/span>)<\/span>
        \n frame =<\/span> cv2.<\/span>flip(<\/span>frame,<\/span> 1<\/span>)<\/span> # \u6c34\u5e73\u7ffb\u8f6c，\u66f4\u81ea\u7136<\/span><\/p>\n

        if<\/span> not<\/span> ret:<\/span>
        \n break<\/span><\/p>\n

        # \u6309 's' \u952e\u9009\u62e9\u8ffd\u8e2a\u76ee\u6807<\/span>
        \n if<\/span> cv2.<\/span>waitKey(<\/span>1<\/span>)<\/span> ==<\/span> ord<\/span>(<\/span>'s'<\/span>)<\/span>:<\/span>
        \n tracking =<\/span> True<\/span>
        \n roi =<\/span> cv2.<\/span>selectROI(<\/span>'Tracking'<\/span>,<\/span> frame,<\/span> showCrosshair=<\/span>False<\/span>)<\/span>
        \n track.<\/span>init(<\/span>frame,<\/span> roi)<\/span><\/p>\n

        if<\/span> tracking:<\/span>
        \n success,<\/span> box =<\/span> track.<\/span>update(<\/span>frame)<\/span>
        \n if<\/span> success:<\/span>
        \n x,<\/span> y,<\/span> w,<\/span> h =<\/span> [<\/span>int<\/span>(<\/span>v)<\/span> for<\/span> v in<\/span> box]<\/span>
        \n cv2.<\/span>rectangle(<\/span>frame,<\/span> (<\/span>x,<\/span> y)<\/span>,<\/span> (<\/span>x+<\/span>w,<\/span> y+<\/span>h)<\/span>,<\/span> (<\/span>0<\/span>,<\/span> 255<\/span>,<\/span> 0<\/span>)<\/span>,<\/span> 2<\/span>)<\/span><\/p>\n

        cv2.<\/span>imshow(<\/span>'Tracking'<\/span>,<\/span> frame)<\/span><\/p>\n

        if<\/span> cv2.<\/span>waitKey(<\/span>1<\/span>)<\/span> ==<\/span> ord<\/span>(<\/span>'q'<\/span>)<\/span>:<\/span>
        \n break<\/span><\/p>\n

        cap.<\/span>release(<\/span>)<\/span>
        \ncv2.<\/span>destroyAllWindows(<\/span>)<\/span><\/p>\n

        \u4e03\u3001\u603b\u7ed3<\/h3>\n

        \u672c\u6587\u8be6\u7ec6\u4ecb\u7ecd\u4e86OpenCV\u4e2d\u8f6e\u5ed3\u68c0\u6d4b\u4e0e\u6a21\u677f\u5339\u914d\u7684\u6838\u5fc3\u6280\u672f，\u5305\u62ec：<\/p>\n

      • \u8f6e\u5ed3\u68c0\u6d4b\u57fa\u7840：\u7406\u89e3\u8f6e\u5ed3\u6982\u5ff5，\u638c\u63e1cv2.findContours()\u7684\u4f7f\u7528\u65b9\u6cd5<\/li>\n
      • \u8f6e\u5ed3\u7279\u5f81\u5206\u6790：\u8ba1\u7b97\u9762\u79ef\u3001\u5468\u957f，\u7b5b\u9009\u8f6e\u5ed3，\u7ed8\u5236\u5916\u63a5\u77e9\u5f62\u548c\u6700\u5c0f\u5916\u63a5\u5706<\/li>\n
      • \u8f6e\u5ed3\u8fd1\u4f3c：\u4f7f\u7528cv2.approxPolyDP()\u8fdb\u884c\u591a\u8fb9\u5f62\u62df\u5408<\/li>\n
      • \u5b9e\u6218\u6848\u4f8b：\u82b1\u6735\u8f6e\u5ed3\u68c0\u6d4b\u4e0e\u8fd1\u4f3c\u5904\u7406<\/li>\n
      • \u6a21\u677f\u5339\u914d：\u5728\u56fe\u50cf\u4e2d\u5bfb\u627e\u4e0e\u6a21\u677f\u76f8\u4f3c\u533a\u57df<\/li>\n
      • \u5b9e\u65f6\u7269\u4f53\u8ffd\u8e2a：\u57fa\u4e8eCSRT\u8ffd\u8e2a\u5668\u5b9e\u73b0\u5b9e\u65f6\u76ee\u6807\u8ddf\u8e2a<\/li>\n

        \u8fd9\u4e9b\u6280\u672f\u662f\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u56fe\u50cf\u5904\u7406\u7684\u57fa\u7840，\u5e7f\u6cdb\u5e94\u7528\u4e8e\u7269\u4f53\u8bc6\u522b\u3001\u5f62\u72b6\u5206\u6790\u3001\u76ee\u6807\u8ddf\u8e2a\u7b49\u9886\u57df\u3002\u5efa\u8bae\u8bfb\u8005\u7ed3\u5408\u5b9e\u9645\u9879\u76ee\u591a\u52a0\u7ec3\u4e60，\u6df1\u5165\u7406\u89e3\u6bcf\u4e2a\u53c2\u6570\u7684\u542b\u4e49\u548c\u9002\u7528\u573a\u666f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

        \u4e00\u3001\u8f6e\u5ed3\u68c0\u6d4b\u57fa\u7840
        \n1.1 \u4ec0\u4e48\u662f\u8f6e\u5ed3？
        \n\u8f6e\u5ed3\u53ef\u4ee5\u7b80\u5355\u7406\u89e3\u4e3a\u8fde\u7eed\u7684\u70b9\u7ec4\u6210\u7684\u66f2\u7ebf，\u8fd9\u4e9b\u70b9\u5177\u6709\u76f8\u540c\u7684\u989c\u8272\u6216\u7070\u5ea6\u503c\u3002\u5728\u8ba1\u7b97\u673a\u89c6\u89c9\u4e2d，\u8f6e\u5ed3\u662f\u5f62\u72b6\u5206\u6790\u548c\u7269\u4f53\u68c0\u6d4b\u4e0e\u8bc6\u522b\u7684\u5173\u952e\u57fa\u7840\u3002\u901a\u8fc7\u8f6e\u5ed3\u5206\u6790，\u6211\u4eec\u53ef\u4ee5\u8bc6\u522b\u7269\u4f53\u7684\u5f62\u72b6\u3001\u8ba1\u7b97\u5176\u9762\u79ef\u548c\u5468\u957f，\u5e76\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u56fe\u50cf\u5904\u7406\u3002
        \n1.2 \u6838\u5fc3API：cv2.findContours()
        \nimage, contours, hierarchy cv2.findContours(<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[1460,50,523],"topic":[],"class_list":["post-92219","post","type-post","status-publish","format-standard","hentry","category-server","tag-opencv","tag-50","tag-523"],"yoast_head":"\nOpenCV\u57fa\u7840\u5165\u95e84\uff1a\u8f6e\u5ed3\u68c0\u6d4b\u4e0e\u6a21\u677f\u5339\u914d - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/92219.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"OpenCV\u57fa\u7840\u5165\u95e84\uff1a\u8f6e\u5ed3\u68c0\u6d4b\u4e0e\u6a21\u677f\u5339\u914d - 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