corner-detection

问题 I have tried implementing a basic version of shi-tomasi corner detection algorithm. The algorithm works fine for corners but I came across a strange issue that the algorithm also gives high values for slanted(titled) edges. Here's what i did Took gray scale image computer dx, and dy of the image by convolving it with sobel_x and sobel_y Took a 3 size window and moved it across the image to compute the sum of the elements in the window. computed sum of the window elements from the dy image and

问题 I want to remove the corners of borders like this picture. 回答1: You can use ::before and ::after pseudo elements to cover (and thus, "hide") parts of the border: .bordery { border: 1px solid teal; padding: 20px; position: relative; } .bordery::after, .bordery::before { background-color: white; content: ""; display: block; height: 10px; position: absolute; width: 10px; } .bordery::after { bottom: -1px; right: -1px; } .bordery::before { top: -1px; left: -1px; } <div class="bordery">This is just

问题 I'm trying to create a random test for a "harris_corner_detector" function implementation (VERY GENERALLY AND SLIGHTLY INCORRECTLY: a function that finds corners in an image) In the test, I want to create random simple shapes in a binary numpy matrix (it's easy to know the coordinates of their corners) (e.g rectangles, triangles, rhombus (diamond) etc...) and check if the harris implementation finds the correct corners. I already implemented a function that randomly 'draws' an axis parallel

问题 I am trying to detect the corners of a grid within various pictures I have to process. Images can be skewed and some might be relatively well oriented but we cannot guarantee that all images will be like this. To determine the corners of the grid, I have tried using Hough lines but to no avail. Sometimes the Hough lines don't identify the edge of the grid and it is hard to determine which of the lines drawn belong to the edge of the grid and which of them are grid lines. I then decided to use

问题 I have to find corners of shapes in an image. i have used Harris corner detection algorithm to find corner, but it is giving total corners present in an image and for finding corners for a particular shape in that image it is not feasible. please suggest some other approach. 回答1: You could use Harris corner detection algorithm. Corners are junction of two edges, where an edge is a sudden change in image brightness. This algorithm takes the differential of the corner score into account with

问题 I have to find corners of shapes in an image. i have used Harris corner detection algorithm to find corner, but it is giving total corners present in an image and for finding corners for a particular shape in that image it is not feasible. please suggest some other approach. 回答1: You could use Harris corner detection algorithm. Corners are junction of two edges, where an edge is a sudden change in image brightness. This algorithm takes the differential of the corner score into account with

问题 I am looking for a procedure to detect the corners of an distorted rectangle accurately with OpenCV in Python. I've tried the solution of different suggestions by googling, but through a sinusoidal superposition of a straight line (see the thresholded image) I probably can't detect the corners. I tried findContours and HoughLines so far without good results. Unfortunately I don't understand the C-Code from Xu Bin in how to find blur corner position with opencv? This is my initial image: After

问题 I have some images which includes both convex as well as non-convex polygons. Each image contains exactly one polygon. I need to detect the corner coordinates and need to sort them in clock-wise or counter-clockwise order. For convex polygons, I use Harris corner detection for detecting corners and convexhull for sorting the points. But i dont have any idea on how to sort non-convex polygon. As my inputs are images, i think some Image Processing Technique might help to sort them out by moving

问题 I have a number of polygon images like a hexagon, a pentagon, any quadrilateral etc.. i need to generalize the detection technique to detect the RIGHT number of Corner coordinates.. no extra coordinates should be generated. for eg:- the code should detect only 4 for a quadrilateral, 3 for triangle, 5 for pentagon and so on.. I used HARRIS corner detection to detect right corners by specifying the number of corners value but i cant use the same code for an image with different number of edges.

问题 I'm trying to find the coordinates of all the shapes that HarrisCorner method marked on my image. I have it set up so it's marking the correct corners and showing the correct results, but I can't figure out where to find the coordinates after all is said and done. I need a list of all of the corners that are marked by this algorithm so I can find their area, center of gravity, shape, & size. Separately I have a list of all of the pixels contained within each shape, so it would be easy for me