image-processing

问题 How can we get the number of rows and columns in an Image table via Opencv. Code for getting boxes in table which I am getting right contours, hierarchy = cv2.findContours(img_final_bin, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) def sort_contours(cnts, method="left-to-right"): # initialize the reverse flag and sort index reverse = False i = 0 # handle if we need to sort in reverse if method == "right-to-left" or method == "bottom-to-top": reverse = True # handle if we are sorting against the y

问题 How can we get the number of rows and columns in an Image table via Opencv. Code for getting boxes in table which I am getting right contours, hierarchy = cv2.findContours(img_final_bin, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE) def sort_contours(cnts, method="left-to-right"): # initialize the reverse flag and sort index reverse = False i = 0 # handle if we need to sort in reverse if method == "right-to-left" or method == "bottom-to-top": reverse = True # handle if we are sorting against the y

问题 Is there anyway (commandline tools) to calculate MD5 hash for .NEF (also .CR2, .TIFF) regardless any metadata, e.g. EXIF, IPTC, XMP and so on? The MD5 hash should be same once we update any metadata inside the image file. I searched for a while, the closest solution is: exiftool test.nef -all= -o - -m | md5 but 'exiftool -all=' still keeps a set of EXIF tags in the output file. The MD5 hash can be changed if I update remaining tags. 回答1: ImageMagick has a method for doing exactly this. It is

问题 Is there anyway (commandline tools) to calculate MD5 hash for .NEF (also .CR2, .TIFF) regardless any metadata, e.g. EXIF, IPTC, XMP and so on? The MD5 hash should be same once we update any metadata inside the image file. I searched for a while, the closest solution is: exiftool test.nef -all= -o - -m | md5 but 'exiftool -all=' still keeps a set of EXIF tags in the output file. The MD5 hash can be changed if I update remaining tags. 回答1: ImageMagick has a method for doing exactly this. It is

问题 I have an image with two contours, where one contour is always 'inside' another. I want to find the distance between the two contours for 90 different angles (meaning, distance at every 4 degrees). How do I go about doing it? Here's an example image: Thank you! 回答1: In the following code, I have just given you the example for the vertical line, the rest can be obtained by rotating the line. Result looks like this, instead of drawing you can use the coordinates for distance calculation. import

问题 I have a png image with green and red lines and transparent background, which I need to use is as a mask for executing GrabCut. But I get unexpected results. Here's my code: //find the mask Mat mask; mask.create( image.size(), CV_8UC1); mask.setTo(Scalar::all(GC_BGD)); Mat maskImg = imread("messi5.png"); for(int i=0; i<maskImg.cols; i++) for(int j=0; j<maskImg.rows; j++) { //if it's red, make it white if ((int)maskImg.at<cv::Vec3b>(j,i)[0]==0 && (int)maskImg.at<cv::Vec3b>(j,i)[1] == 0 && (int

问题 I have a picture like , which i need to segment the picture into 8 blocks. I have tried this threshold method img_gray = cv2.imread(input_file,cv2.IMREAD_GRAYSCALE) ret,thresh = cv2.threshold(img_gray,254,255,cv2.THRESH_BINARY) = kernel = np.array(cv2.getStructuringElement(cv2.MORPH_RECT, (3, 3), (-1, -1))) img_open = cv2.morphologyEx(thresh, cv2.MORPH_OPEN, kernel) cv2.imshow('abc',img_open) ret1,thresh1 = cv2.threshold(img_open,254,255,cv2.THRESH_BINARY_INV) # contours, hierarchy = cv2

问题 I have two images (see below). These images represent the contours of a pair of cables and were captured using laser based 3D triangulation. The first image is captured with the left camera, while the second one with the right camera. As can be seen, these images are partially overlapping. The left part on the first image partly corresponds to the left part on the second image. The same holds for the right part. I want to merge these two images into one image so that the corresponding parts

问题 cv2.error: OpenCV(4.2.0) c:\projects\opencv python\opencv\modules\imgproc\src\color.simd_helpers.hpp:92: error: (-2:Unspecified error) in function '__cdecl cv::impl::`anonymous- namespace'::CvtHelper<struct cv::impl::`anonymous namespace'::Set<3,4,-1>,struct cv::impl::A0xe227985e::Set<1,-1,-1>,struct cv::impl::A0xe227985e::Set<0,2,5>,2>::CvtHelper(const class cv::_InputArray &,const class cv::_OutputArray &,int) > Invalid number of channels in input image: > 'VScn::contains(scn)' > where >

问题 cv2.error: OpenCV(4.2.0) c:\projects\opencv python\opencv\modules\imgproc\src\color.simd_helpers.hpp:92: error: (-2:Unspecified error) in function '__cdecl cv::impl::`anonymous- namespace'::CvtHelper<struct cv::impl::`anonymous namespace'::Set<3,4,-1>,struct cv::impl::A0xe227985e::Set<1,-1,-1>,struct cv::impl::A0xe227985e::Set<0,2,5>,2>::CvtHelper(const class cv::_InputArray &,const class cv::_OutputArray &,int) > Invalid number of channels in input image: > 'VScn::contains(scn)' > where >