![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260729160838-6a6a25868ddd2.bmp\")
\u00a0 \u00a0![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260729160838-6a6a25869f291.bmp\")
<\/p>\n\u8fd9\u4e2a\u7a0b\u5e8f\u4f7f\u7528OpenCV C++\u5b9e\u73b0\u7b80\u5355\u7684\u8f66\u578b\u8bc6\u522b，\u8fd9\u4e00\u5c0f\u8282\u8fdb\u884c\u56fe\u50cf\u9884\u5904\u7406\u3002<\/p>\n
\u8f93\u5165\u56fe\u7247\u662f\u6ca1\u6709\u5c0f\u6c7d\u8f66\u7684\u80cc\u666f\u56fe\u7247\u548c\u6709\u5c0f\u6c7d\u8f66\u7684\u524d\u666f\u56fe\u7247：<\/p>\n
\u00a0 \u00a0<\/p>\n
\u4e0a\u9762\u4e24\u5f20\u56fe\u7247\u505a\u5dee，\u63d0\u53d6\u51fa\u53ea\u6709\u5c0f\u6c7d\u8f66\u7684\u524d\u666f\u56fe\u7247\u5e76\u4e8c\u503c\u5316\u5904\u7406：<\/p>\n
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260729160838-6a6a2586aa0d8.png\")
<\/p>\n
\u7136\u540e\u5f00\u8fd0\u7b97(\u5148\u8150\u8680\u540e\u81a8\u80c0)，\u53bb\u9664\u56fe\u50cf\u91cc\u7684\u566a\u70b9\u548c\u5c0f\u7269\u4f53：<\/p>\n
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260729160838-6a6a2586f2299.png\")
<\/p>\n
\u73b0\u5728\u53ea\u5269\u4e0b\u51e0\u4e2a\u5c0f\u566a\u70b9\u4e86，\u53bb\u6389\u8fd9\u51e0\u4e2a\u5c0f\u566a\u70b9\u5e76\u628a\u6574\u4e2a\u8f66\u8f86\u586b\u5145\u4e3a\u4e00\u4e2a\u6574\u4f53，\u5f97\u5230\u6700\u7ec8\u7684\u7ed3\u679c：<\/p>\n
![\"\"](\"https:\/\/www.wsisp.com\/helps\/wp-content\/uploads\/2026\/07\/20260729160839-6a6a25872536b.png\")
<\/p>\n
\u7b2c\u4e8c\u5c0f\u8282\u662f\u5f62\u72b6\u8bc6\u522b\u300aOpenCV C++\u8f66\u578b\u8bc6\u522b2-\u5f62\u72b6\u5339\u914d-CSDN\u535a\u5ba2\u300b<\/p>\n
\u4ee3\u7801：<\/p>\n
void Imgsub()
\n{
\nBkGray=cvCreateImage(cvGetSize(BkImg),8,1);
\ncvCvtColor(BkImg,BkGray,CV_BGR2GRAY);
\nFrGray=cvCreateImage(cvGetSize(BkImg),8,1);
\ncvCvtColor(FrImg,FrGray,CV_BGR2GRAY);<\/p>\n
cvSmooth(BkGray,BkGray,CV_GAUSSIAN,5);
\ncvSmooth(FrGray,FrGray,CV_GAUSSIAN,5);<\/p>\n
SubImg=cvCreateImage(cvGetSize(BkImg),8,1);
\ncvAbsDiff(FrGray,BkGray,SubImg);
\n}<\/p>\n
void Binary()
\n{
\nBinaryImg=cvCreateImage(cvGetSize(BkImg),8,1);
\ncvThreshold(SubImg,BinaryImg,0,255,CV_THRESH_OTSU);
\n}<\/p>\n
void Open()
\n{
\nIplConvKernel * kernel_5_5;
\nkernel_5_5=cvCreateStructuringElementEx(5,5,2,2,CV_SHAPE_ELLIPSE,0);
\nIplConvKernel * kernel_7_7;
\nkernel_7_7=cvCreateStructuringElementEx(7,7,3,3,CV_SHAPE_ELLIPSE,0);<\/p>\n
cvErode(BinaryImg,BinaryImg,kernel_5_5,1);<\/p>\n
cvDilate(BinaryImg,BinaryImg,kernel_7_7,1);
\n}<\/p>\n
void Removenoise()
\n{
\nIplImage * BinaryImg2;
\nBinaryImg2=cvCloneImage(BinaryImg);<\/p>\n
CvMemStorage * storage=cvCreateMemStorage(0);<\/p>\n
CvSeq * area_contour=NULL;
\nint Number_contours=0;
\ndouble Area=0;
\nCvScalar s_fill_new;
\ns_fill_new.val[0]=0;
\nCvScalar loDiff;
\nloDiff.val[0]=10;
\nCvScalar upDiff;
\nupDiff.val[0]=10;
\nNumber_contours=cvFindContours(BinaryImg,storage,&area_contour,sizeof(CvContour),CV_RETR_EXTERNAL);
\nfor(CvSeq * c=area_contour;c!=NULL;c=c->h_next)
\n{
\nArea=fabs(cvContourPerimeter(c));
\nif(Area<30)
\n{
\nfor(int i=0;i<1;i++)
\n{
\nCvPoint * seedpoint=CV_GET_SEQ_ELEM(CvPoint,c,i);
\ncvFloodFill(BinaryImg2,*seedpoint,s_fill_new,loDiff,upDiff,NULL,4,0);
\n}
\n}
\n}
\nBinaryImg=cvCloneImage(BinaryImg2);
\n}<\/p>\n
void Imgfill()
\n{
\nCvScalar s;
\nCvScalar s_new;
\ns_new.val[0]=255;
\nint left_X=0;
\n int right_X=0;
\nint top_Y=0;
\nint bottom_Y=0;<\/p>\n
for(int wt=0;wt<BinaryImg->width;wt++)
\n{
\nfor(int ht=0;ht<BinaryImg->height;ht++)
\n{
\ns=cvGet2D(BinaryImg,ht,wt);
\nif(255==s.val[0])
\n{
\ntop_Y=ht;
\nfor(int m=BinaryImg->height-1;m>=0;m–)
\n{
\ns=cvGet2D(BinaryImg,m,wt);
\nif(255==s.val[0])
\n{
\nbottom_Y=m;
\nbreak;
\n}
\n}
\nfor(int i=top_Y;i<=bottom_Y;i++)
\ncvSet2D(BinaryImg,i,wt,s_new);
\nht=BinaryImg->height;
\n}
\n}
\n}<\/p>\n
for(int ht=0;ht<BinaryImg->height;ht++)
\n{
\nfor(int wt=0;wt<BinaryImg->width;wt++)
\n{
\ns=cvGet2D(BinaryImg,ht,wt);
\nif(255==s.val[0])
\n{
\nfor(int m=BinaryImg->width-1;m>=0;m–)
\n{
\ns=cvGet2D(BinaryImg,ht,m);
\nif(255==s.val[0])
\n{
\nright_X=m;
\nbreak;
\n}
\n}
\nfor(int i=left_X;i<=right_X;i++)
\ncvSet2D(BinaryImg,ht,i,s_new);
\nwt=BinaryImg->width;
\n}
\n}
\n}
\n}<\/p>\n","protected":false},"excerpt":{"rendered":"
\u8fd9\u4e2a\u7a0b\u5e8f\u4f7f\u7528OpenCV C\u5b9e\u73b0\u7b80\u5355\u7684\u8f66\u578b\u8bc6\u522b，\u8fd9\u4e00\u5c0f\u8282\u8fdb\u884c\u56fe\u50cf\u9884\u5904\u7406\u3002
\n\u8f93\u5165\u56fe\u7247\u662f\u6ca1\u6709\u5c0f\u6c7d\u8f66\u7684\u80cc\u666f\u56fe\u7247\u548c\u6709\u5c0f\u6c7d\u8f66\u7684\u524d\u666f\u56fe\u7247： \u4e0a\u9762\u4e24\u5f20\u56fe\u7247\u505a\u5dee，\u63d0\u53d6\u51fa\u53ea\u6709\u5c0f\u6c7d\u8f66\u7684\u524d\u666f\u56fe\u7247\u5e76\u4e8c\u503c\u5316\u5904\u7406： \u7136\u540e\u5f00\u8fd0\u7b97(\u5148\u8150\u8680\u540e\u81a8\u80c0)，\u53bb\u9664\u56fe\u50cf\u91cc\u7684\u566a\u70b9\u548c\u5c0f\u7269\u4f53： \u73b0\u5728\u53ea\u5269\u4e0b\u51e0\u4e2a\u5c0f\u566a\u70b9\u4e86，\u53bb\u6389\u8fd9\u51e0\u4e2a\u5c0f\u566a\u70b9\u5e76\u628a\u6574\u4e2a\u8f66\u8f86\u586b\u5145\u4e3a\u4e00\u4e2a\u6574\u4f53，\u5f97\u5230\u6700\u7ec8\u7684\u7ed3\u679c： \u7b2c\u4e8c\u5c0f\u8282\u662f\u5f62\u72b6\u8bc6\u522b\u300aO<\/p>\n","protected":false},"author":2,"featured_media":87172,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[55,1460,50,523],"topic":[],"class_list":["post-87177","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-c","tag-opencv","tag-50","tag-523"],"yoast_head":"\n