image-processing

问题 I use Python OpenCV to skeletonize an image like this: and I want to find the branch point of the skeleton I have no idea how to do it. Any thoughts? 回答1: The main idea here is to look in the neighborhood. You can use a 8-conected neighborhood for every pixels ([1 1 1; 1 1 1; 1 1 1], and the center is the pixel for which the neighborhood being explored!). At every branch point, the degree of the pixel will be > 2, while regular pixels will have a degree of 2 (i.e., connected to 2 pixels in

问题 I use Python OpenCV to skeletonize an image like this: and I want to find the branch point of the skeleton I have no idea how to do it. Any thoughts? 回答1: The main idea here is to look in the neighborhood. You can use a 8-conected neighborhood for every pixels ([1 1 1; 1 1 1; 1 1 1], and the center is the pixel for which the neighborhood being explored!). At every branch point, the degree of the pixel will be > 2, while regular pixels will have a degree of 2 (i.e., connected to 2 pixels in

问题 If I have an image loaded from an arbitrary URL (local or remote), and do not want to use javascript nor server-side processing, is it possible to sharpen it from client-side with CSS? 回答1: Yes , for some browsers this is already possible (like Chrome and Firefox). In particular, you need mix-blend-mode and CSS filters. Here's a codepen with the Lenna image as example, and a (compiled) copy of it as a code snippet: .foo, .bar, .bar::after, .baz { width: 512px; height: 512px; position:

问题 If I have an image loaded from an arbitrary URL (local or remote), and do not want to use javascript nor server-side processing, is it possible to sharpen it from client-side with CSS? 回答1: Yes , for some browsers this is already possible (like Chrome and Firefox). In particular, you need mix-blend-mode and CSS filters. Here's a codepen with the Lenna image as example, and a (compiled) copy of it as a code snippet: .foo, .bar, .bar::after, .baz { width: 512px; height: 512px; position:

问题 I'm trying to execute a code generated by graphEditPlus (using VS2010) but having a trouble with the following line: CComQIPtr<ISampleGrabber, &IID_ISampleGrabber> pSampleGrabber_isg(pSampleGrabber); where the errors are: error C2065: 'ISampleGrabber' : undeclared identifier error C2065: 'IID_ISampleGrabber' : undeclared identifier error C2514: 'ATL::CComQIPtr' : class has no constructors I tried downloading different versions of Windows SDK (V7.1, V6.0A, V5) and set the include / lib paths

问题 I'm trying to execute a code generated by graphEditPlus (using VS2010) but having a trouble with the following line: CComQIPtr<ISampleGrabber, &IID_ISampleGrabber> pSampleGrabber_isg(pSampleGrabber); where the errors are: error C2065: 'ISampleGrabber' : undeclared identifier error C2065: 'IID_ISampleGrabber' : undeclared identifier error C2514: 'ATL::CComQIPtr' : class has no constructors I tried downloading different versions of Windows SDK (V7.1, V6.0A, V5) and set the include / lib paths

问题 I'm trying to execute a code generated by graphEditPlus (using VS2010) but having a trouble with the following line: CComQIPtr<ISampleGrabber, &IID_ISampleGrabber> pSampleGrabber_isg(pSampleGrabber); where the errors are: error C2065: 'ISampleGrabber' : undeclared identifier error C2065: 'IID_ISampleGrabber' : undeclared identifier error C2514: 'ATL::CComQIPtr' : class has no constructors I tried downloading different versions of Windows SDK (V7.1, V6.0A, V5) and set the include / lib paths

问题 I have a problem and I need your help. I have a series of thermographic images, of which I need to detect the hot spot (shown in the bar to the right of the image) in the area where the analysis is being done. In the case of these example images, the hot spot is in the focus of the crosshair, however, the goal is to imagine that I don't know where this point is and that the algorithm itself finds it, based on the bar on the right. I leave below some of these images as an example: IR_1544.jpg

问题 I am trying to learn filters in opencv and running this code. But the problem is that when ı run the code it gives me an almost dark image and warns me with "c:/Users/fazil/Desktop/Yeni Metin Belgesi (3).py:19: RuntimeWarning: overflow encountered in ubyte_scalars result[j,i,a]=int((image[j,i,a]+image[j,i-1,a]+image[j,i+1,a]+image[j+1,i,a]+image[j-1,i,a]+image[j+1,i+1,a]+image[j+1,i-1,a]+image[j-1,i-1,a]+image[j-1,i+1,a])/9)". And if ı comment these out and run code with the lines working

问题 My code is detecting another box when there is no letter! # Create sort_contours() function to grab the contour of each digit from left to right def sort_contours(cnts,reverse = False): i = 0 boundingBoxes = [cv2.boundingRect(c) for c in cnts] (cnts, boundingBoxes) = zip(*sorted(zip(cnts, boundingBoxes), key=lambda b: b[1][i], reverse=reverse)) return cnts cont, _ = cv2.findContours(thre_mor, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) # creat a copy version "test_roi" of plat_image to draw