python实现:prewitt, laplace,sobel,scharr, canny, hed butub 你好你好 39 人赞同了该文章 代码: butub1/Edge-detectiongithub.com/butub1/Edge-detection 哭了,实现了的一个赞没有,上面讲理论的一堆赞...................... Catalog Filters Noise
@param apertureSize aperture size for the Sobel operator. // 表示Sobel算子的模板大小 @param L2gradient a flag, indicating whether a more accurate \f$L_2\f$ norm \f$=\sqrt{(dI/dx)^2 + (dI/dy)^2}\f$ should be used to calculate the image gradient magnitude (L2gradient=true ), or...
Binary Count Setbits 二进制计数设置位 Binary Count Trailing Zeros 二进制计数尾随零 Binary Or Operator 二进制或运算符 Binary Shifts 二进制转换 Binary Twos Complement 二进制补码 Binary Xor Operator 二进制异或运算符 Count 1S Brian Kernighan Method 计数 1S Brian Kernighan 方法 Count Number Of One Bits...
The HypPy tool called hyperspectral gradient implements a number of directional (up, down, and two diagonals) and non-directional filters (edgy and Sobel). A number of distance measures have been implemented that can be used in conjunction with these filters. The spectral angle (SA) distance ...
or segmentation. The result of the gradient filters is always a single-band grey-level image. The HypPy tool called hyperspectral gradient implements a number of directional (up, down, and two diagonals) and non-directional filters (edgy and Sobel). A number of distance measures have been impl...
gradX = cv2.Sobel(tophat, ddepth=cv2.CV_32F, dx=1, dy=0, ksize=-1) gradX = np.absolute(gradX) (minVal, maxVal) = (np.min(gradX), np.max(gradX)) gradX = (255 * ((gradX - minVal) / (maxVal - minVal))) gradX = gradX.astype("uint8") ...
Note that the 'host' arg is set as 'required'. So, if we run the code without feeding host ip, we'll get an error like this: $ python arg.py usage: arg.py [-h] -H HOST [-p PORT] [-u USER] arg.py: error: argument -H/--host is required ...
To instantiate a class, simply call the class as if it were a function, passing the arguments that the__init__()method requires. The return value will be the newly created object. In Python, there is no explicit new operator like there is in c++ or Java. So, we simply call a class...
OriginalCanny Edge 13. Sobel-X and Y -Code As we have seen Laplacian previously, let's compare it with the Sobel Filters. LaplacianSobelXSobelY Because of the second-order derivatives in Laplacian, this gradient operator is more sensitive to noise than first-order gradient operators. Also, th...
Gaussian Filter 高斯滤波器 Local Binary Pattern 本地二进制模式 Median Filter中值滤波器Sobel ...