滤波(Filter) 读取图片 img = cv2.imread('xxxxxxxxx.png') 取区域的均值 1.均值滤波 # 均值滤波 # 简单的平均卷积操作 blur = cv2.blur(img, (3, 3)) cv2.imshow('blur', blur) cv2.waitKey(0) cv2.destroyAllWindows() 2.方框滤波 normalize-归一化(值得一提的是这个第二个参数“-1”表示和原图...
cvNamedWindow("maximum filter"); cvShowImage("maximum filter",dst); cvSaveImage("maximum filter.jpg",dst); maxminFilter(src,dst,5,5,KCV_MIN); cvNamedWindow("minimum filter"); cvShowImage("minimum filter",dst); cvSaveImage("minimum filter.jpg",dst); maxminFilter(src,dst,5,5,KCV_NMS_M...
(例如-我得到了python + openCV + numpy代码) for filter in filters: filtered = cv.filter2D(img, cv.CV_8UC3, filter) filtered = np.reshape(filtered, img.shape) np.maximum(accumulator, filtered, accumulator) “过滤器”-是盖博过滤器银行。据我所知,“ 浏览2提问于2020-09-17得票数 1 回答已...
self.output_image_path=output_image_pathdefdetect_cracks(self):# Read input imageimg=cv2.imread(self.input_image_path)# Convert into gray scalegray=cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)# Image processing (smoothing)blur=cv2.blur(gray,(3,3))# Apply logarithmic transformimg_log=(np.log(blur+...
高通滤波器( High Pass Filter)是检测图像的某个区域,然后根据像素与周围像素的亮度差值来提升(boost)该像素的亮度的滤波器。在计算完中央像素与周围邻近像素的亮度差值之和以后,如果亮度变化很大,中央像素的亮度会增加(反之则不会)。换句话说,如果-一个像素比它周围的像素更突出,就会提升它的亮度。这在边缘检测上...
(x) for x in filters] fft_shift = [np.fft.fftshift(y) for y in fft_filters] mag_spectrum = [np.log(np.abs(z)+1) for z in fft_shift] for i in xrange(6): plt.subplot(2,3,i+1),plt.imshow(mag_spectrum[i],cmap = 'gray') plt.title(filter_name[i]), plt.xticks([])...
(3) 检测点与边缘点一一对应:算子检测的边缘点与实际边缘点应该是一一对应。 二、Canny边缘检测算法流程 应用高斯滤波来平滑图像,目的是去除噪声 找寻图像的强度梯度(intensity gradients) 应用非最大抑制(non-maximum suppression)技术来消除边误检(本来不是但检测出来是) ...
2.2.4 edgePreservingFilter 2.2 锐化滤波(边缘检测) 2.2.1 Roberts交叉梯度算子 2.2.2 Prewitt算子 2.2.3 sobel滤波器 2.2.4 Isotropic Sobel算子 2.2.5 Scharr算子 2.2.6 Laplacian滤波器 2.2.7 LOG算子 2.2.8 Unsharpen Mask 2.3 非微分边缘检测算子——Canny算子 ...
// True to filter on convexity, and min/max ratio to hull area bool filterByConvexity; float minConvexity, maxConvexity; void read(const FileNode& fn); void write(FileStorage& fs) const; }; static Ptr<SimpleBlobDetector> create( const SimpleBlobDetector::Params ¶meters ...
// c - Maximum number of images in a row int r = 2, c = 2; // size - the size of the images in the window int size = 352; // space - the spacing between images int space = 30; // Font Settings CvFont titleFont, infoFont; ...