MATLAB Answers

Hough transform doesn't detect some lines

77 views (last 30 days)
Jack Smith
Jack Smith on 21 Mar 2015
Commented: Image Analyst on 17 Oct 2020
Hi, I tried using Hough transform to detect all the straight lines in an image below
so that only logic gates remain in the image. But Hough transform detect only some lines as shown in figure an the detected lines are colored in green.
Can someone please tell what could the reason. What is the best, robust function in matlab to detect lines in image that can work on any type of image. If Hough transform is the best available one, what can be done to increase its robustness to detect all straight lines that can be used in any type of image.The code used is below one where BW_ConnComp is a binary inverted image. The "lines" calculated is drawn in green.
img = edge(BW_ConnComp,'prewitt');
figure, imshow(img), hold on
[H,T,R] = hough(img);
P = houghpeaks(H,5,'threshold',ceil(0.3*max(H(:))));
lines = houghlines(BW,T,R,P,'FillGap',5);

  2 Comments

Jack Smith
Jack Smith on 21 Mar 2015
Tried increasing threshold value. Still unable to detect all the lines * (see my comment to first answer below) * . Someone please help.
Jack Smith
Jack Smith on 21 Mar 2015
Also please suggest how to find total number of separate line segments detected.

Sign in to comment.

Answers (4)

Image Analyst
Image Analyst on 21 Mar 2015
Try changing the threshold, or not calling edge() at all. Not sure why you called edge in the fist place. I mean it already has edges and calling edge just turns a single edge into a double edge - just look at your image and you'll see.

  1 Comment

Jack Smith
Jack Smith on 21 Mar 2015
Thank you for the answer. I tried increasing the threshold value from 0.3*max(H(:)) to 0.5*max(H(:)) and removed edge() function. I only got an improvement of detection of just one more line (line B/W NOT & AND gates) , and still three lines are yet to be detected (as in above fig four lines are undetected). If I try to increase threshold value further, then the lines already detected are also getting undetected.

Sign in to comment.


Image Analyst
Image Analyst on 22 Mar 2015
Jack:
Try the attached code. Change your folder and image name before you run it.

  2 Comments

Walter Roberson
Walter Roberson on 20 Sep 2015
Jack Smith commented
I want to understand why Hough transform is unable to detect all the lines.
Image Analyst
Image Analyst on 20 Sep 2015
Jack, they were probably not selected due to the threshold level. Attach a specific example (code plus image) in a new question if you want more help.

Sign in to comment.


sonia carole
sonia carole on 2 Feb 2016
I = imread('SAM_0160.jpg');
I=imresize(I,[640 480]);
figure,imshow(I);
rotI =imrotate(I,33,'crop');
bw_I =rgb2gray(rotI);
BW = edge(bw_I,'canny');
figure; imshow(BW);
[H,T,R] = hough(BW);
imshow(H,[],'XData',T,'YData',R,...
'InitialMagnification','fit');
xlabel('\theta'), ylabel('\rho');
axis on, axis normal, hold on;
P = houghpeaks(H,5,'threshold',ceil(0.6*max(H(:))));
x = T(P(:,2)); y = R(P(:,1));
plot(x,y,'s','color','white');
% Find lines and plot them
lines = houghlines(BW,T,R,P,'FillGap',30,'MinLength',15);
figure, imshow(rotI), hold on
max_len = 0;
for k = 1:length(lines)
xy = [lines(k).point1; lines(k).point2];
plot(xy(:,1),xy(:,2),'LineWidth',2,'Color','green');
% Plot beginnings and ends of lines
%plot(xy(1,1),xy(1,2),'x','LineWidth',2,'Color','yellow');
%plot(xy(2,1),xy(2,2),'x','LineWidth',2,'Color','red');
% Determine the endpoints of the longest line segment
len = norm(lines(k).point1 - lines(k).point2);
if ( len > max_len)
max_len = len;
xy_long = xy;
end
end
% highlight the longest line segment %plot(xy_long(:,1),xy_long(:,2),'LineWidth',2,'Color','blue');

  3 Comments

sonia carole
sonia carole on 2 Feb 2016
I am facing the same problem,I am not able to detect all the lines in my image, when I am changing both angle and threshold. thank you for your help. my intentions is to detect overhead power lines and then track them.
Spencer Glubay
Spencer Glubay on 17 Oct 2020
I think your min length is too high or you are don't have enough number of peaks. Both of these will reduce how many lines are displayed in the end.
Image Analyst
Image Analyst on 17 Oct 2020
Try taking the radon transform and see if you can see peaks at the expected angles.

Sign in to comment.


Satadru Mukherjee
Satadru Mukherjee on 21 Jul 2020
Simple Code , no need Hough--
clc
clear all
close all
warning off
x=imbinarize(rgb2gray(imread('Capture.JPG')));
imshow(x);
impixelinfo;
[r c]=size(x);
l=zeros(r,c);
se=strel('line',60,0);
imshow(x);
l=l+imopen(x,se);
imshow(l);
se=strel('line',60,90);
imshow(x);
l=l+imopen(x,se);
imshow(l);

  0 Comments

Sign in to comment.

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by