cols / Scale), CV_8UC1); //因为用的是基于灰度图像的类haar特征,所以要转换成灰度图像 cvtColor(Frame, gray, CV_BGR2GRAY); //改变图像大小,双线性差值 resize(gray, Small_Img, Small_Img.size(), 1 / Scale, 1 / Scale, INTER_LINEAR); //直方图均值化 equalizeHist(Small_Img, Small_Img); ...
cvtColor(img, gray, CV_BGR2GRAY); int b = 20; int m = gray.rows / b; //每一行图片的个数 int n = gray.cols / b; //每一列图片的个数 Mat data, labels; //特征矩阵 for (int i = 0; i < n; i++) { int offsetCol = i * b; //列上的偏移量 for (int j = 0; j <...
ImageRect(srcImage,gray2); //cvCvtColor(srcImage,gray2,CV_RGB2GRAY); bor.classify(gray2,1); finish = clock(); double duration = (double)(finish-start)/CLOCKS_PER_SEC; printf("检测时间: %f seconds\n",duration);} return 0;
src1 = cv2.cvtColor(src,cv2.COLOR_BGR2GRAY) x_gray = cv2.Sobel(src1,cv2.CV_32F,1,0) y_gray = cv2.Sobel(src1,cv2.CV_32F,0,1) x_gray = cv2.convertScaleAbs(x_gray) y_gray = cv2.convertScaleAbs(y_gray) dst = cv2.add(x_gray,y_gray,dtype=cv2.CV_16S) dst = cv2.convert...
cvCvtColor(img, &gray, CV_BGR2GRAY); cvThreshold(gray, &binary, 128, 255, CV_THRESH_BINARY); cvShowImage("input", &gray); cvShowImage("output", &binary); cvWaitKey(0); return 0; } 2、字符分割 字符分割可以使用Sobel算子进行边缘检测,然后通过连通域分析找到字符区域,以下是一个简单的示例...
cvtColor(image,I,CV_BGR2GRAY); Mat contours; Canny(I,contours,125,350); threshold(contours,contours,128,255,THRESH_BINARY); vector<Vec4i> lines; // 检测直线,最小投票为90,线条不短于50,间隙不小于10 HoughLinesP(contours,lines,1,CV_PI/180,80,50,10); ...
cv::COLOR_BGR2GRAY cv::COLOR_RGBA2GRAY cv::COLOR_BGRA2GRAY 5、从灰度空间转换到RGB和BGR颜色空间 cv::COLOR_GRAY2RGB cv::COLOR_GRAY2BGR cv::COLOR_GRAY2RGBA cv::COLOR_GRAY2BGRA 6、RGB和BGR颜色空间与BGR565颜色空间之间的转换 cv::COLOR_RGB2BGR565 ...
bg_subtraction_mog2_gpu(bg_learn_rate); if (frame_count >= mog2_gpu.history) { if(frame_count == mog2_gpu.history) cout << "People Background OK !"<<endl; Mat fgmask_merge = Mat::zeros(frame.size(), CV_8UC1); get_fg_mask_gpu(d_fgmask, fgmask_merge); ...
cv2.cvtColor(image,cv2.COLOR_BGR2RGB)下面是cvtColor的一些其他标志：COLOR_BGR2GRAY、COLOR_BGR2HSV和COLOR_BGR2YUV等。这是双向的，例如，COLOR_YUV2BGR也是可能的。resize 有时你只需要一个不同于原来大小的图像，所以resize就是你需要的函数。cv2.resize(image, dimension, interpolation = cv2.INTER_AREA)...
gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY) gray_s = cv.warpAffine(gray, M, size) detect() cv.imshow('window', gray_s) t = time.time() cv.displayOverlay('window', f'time={t-t0:.3f}') t0 = t if cv.waitKey(1) & 0xFF == ord('q'): ...