hough-transform

问题 Please I want to draw accumulator output for opencv hougcircles function. . The function run ok and detected the circle (center&radius) only I want to show the accumulator for this function The path for function Opencv\modules\imgprocs\src\hough.cpp The function name for hough circle icvHoughCirclesGradient the parameter for accumulator is "accum". Any help please Thanks 来源： https://stackoverflow.com/questions/28718956/show-the-accumulator-result-after-use-houghcircles-opencv-function

问题 Given an Image How can I find that there is some curve or a straight line in image. HoughLine transform can be used to find a straight line but I want to find if there is some curve in an image or not. Following is a rough technique in matlab to detect curve in binary image mentioned at https://www.mathworks.com/matlabcentral/answers/127190-how-can-i-detect-whether-a-line-is-a-straight-line-or-curve-from-an-binary-image but I want to code it in python. 1- call regionprops to get area and

问题 After doing the Hough transform in MATLAB, how do I pick the lines so that I can compare between two or more images? I followed the example given by Amro and actually what I wanted to detect is the two lines in the first picture. However, what I got is the one in the second picture. How can I do this? 回答1: I think you meant the goal to be to detect lines in an image, not comparing two images (?). Anyway, to find the maximum intensities in the Hough transform matrix generated by the hough

问题 Closed . This question needs to be more focused. It is not currently accepting answers. Want to improve this question? Update the question so it focuses on one problem only by editing this post. Closed 5 years ago . Hough Transform Algorithm is one of the algorithm use for text line detection and edge detection. Does Hough Transform Algorithm can be use for Detecting text in Images? What must be the process or implementation in java for this question? or It must be have another algorithm to

问题 Setup: Camera: Blackfly S Mono 20.0 MP Lens: Opto telecentric lens TC23080 Lights: 16 green LEDS Python: 3.7.3 openCV: 4.0+ Sorry for the image links, but one image is around 20MB, also did not want to loose any quality Image samples: https://drive.google.com/file/d/11PU-5fzvSJt1lKlmP-lQXhdsuCJPGKbN/view?usp=sharing https://drive.google.com/file/d/1B3lSFx8YvTYv3hzuuuYtphoHBuyEdc4o/view Case: There will be metal parts with different shapes from 5x5 to 10x10 size(cm). Inside these metal parts

问题 I've been trying to write a program that locates clock's face on picture and then proceeds to read time from it. Locating works fairly well, reading time - not so much. The cv2.HoughLines function returns angles at which lines lay (measuring from the top of the image) and their distance from upper-left corner of the image. After a bit of tweaking I've managed to convince my code to find a single line for each of clock's hands, but as for now I remain unable to actually read time from it.

问题 I am trying to detect a bent conveyor in an image. I used the following code using Hough transform to detect its edges %# load image, and process it I = imread('ggp\2.jpg'); g = rgb2gray(I); bw = edge(g,'Canny'); [H,T,R] = hough(bw); P = houghpeaks(H,500,'threshold',ceil(0.4*max(H(:)))); % I apply houghlines on the grayscale picture, otherwise it doesn't detect % the straight lines shown in the picture lines = houghlines(g,T,R,P,'FillGap',5,'MinLength',50); figure, imshow(g), hold on for k =

问题 I am working on image processing using opencv and Eclipse. vector<Vec2f> lines; HoughLines(dst, lines, 1, CV_PI/180, 100, 0, 0 ); for( size_t i = 0; i < lines.size(); i++ ) { float rho = lines[i][0], theta = lines[i][1]; Point pt1, pt2; double a = cos(theta), b = sin(theta); double x0 = a*rho, y0 = b*rho; pt1.x = cvRound(x0 + 1000*(-b)); pt1.y = cvRound(y0 + 1000*(a)); pt2.x = cvRound(x0 - 1000*(-b)); pt2.y = cvRound(y0 - 1000*(a)); line( cdst, pt1, pt2, Scalar(0,0,255), 3, CV_AA); } Can

问题 After detecting the lines in an image using Hough lines, how can I use it to calculate the change in angle (rotation) of the lines of a reference image? 回答1: Note to readers: This is a follow-up question, refer to these for background: How to select maximum intensity in Hough transform in MATLAB? Calculating displacement moved in MATLAB The process is similar to what I showed before. Below I am using the images from your previous question (since you provided only one, I created the other by

问题 I am working with Hough Circle Transform with my RaspberryPi and when I take a ROI to check for circle like this: for (x,y,w,h) in trafficLights: cv2.rectangle(image,(x,y),(x+w,y+h),(0,0,255),2) roi = image[y:y+h,x:x+w] roi = cv2.medianBlur(roi,5) circles = cv2.HoughCircles(roi,cv2.HOUGH_GRADIENT,1,20, param1=50,param2=60,minRadius=0,maxRadius=0) circles = numpy.uint16(numpy.around(circles)) for i in circles[0,:]: if i[2] < 100: cv2.circle(image,(i[0],i[1]),i[2],(0,255,0),2) cv2.circle(image,