hough transform to find lines in logical image in matlab

To apply the Hough transform to detect lines in a logical image in Matlab, you can use the "hough" function. Here's an example code snippet:

main.m
% Load binary image
BW = imread('binary_image.png');

% Apply Hough transform
[H,theta,rho] = hough(BW);

% Find peaks in Hough transform
P = houghpeaks(H,10);

% Extract lines based on peaks
lines = houghlines(BW,theta,rho,P);
228 chars
12 lines

In this example, we load a binary image and apply the Hough transform using the "hough" function. The output of this function is the Hough accumulator matrix "H", as well as the theta and rho values used in the transform.

We then use the "houghpeaks" function to find the highest peaks in the Hough accumulator matrix. These peaks correspond to the most likely lines in the image.

Finally, we use the "houghlines" function to extract the lines from the binary image based on the peaks found in the previous step. The "houghlines" function returns a structure containing information about each line, such as its start and end points.

Note that the "hough" and "houghpeaks" functions have various optional parameters that can be used to fine-tune the line detection algorithm. Refer to Matlab's documentation for more details.