Naive Hough Transform for Matlab

naiveHough.m

function [ Hough, theta_range, rho_range ] = naiveHough(I)
%NAIVEHOUGH Peforms the Hough transform in a straightforward way.
%   
    [rows, cols] = size(I);
 
    theta_maximum = 90;
    rho_maximum = floor(sqrt(rows^2 + cols^2)) - 1;
    theta_range = -theta_maximum:theta_maximum - 1;
    rho_range = -rho_maximum:rho_maximum;
 
    Hough = zeros(length(rho_range), length(theta_range));
 
    wb = waitbar(0, 'Naive Hough Transform');
    
    for row = 1:rows
        waitbar(row/rows, wb);
        for col = 1:cols
            if I(row, col) > 0
                x = col - 1;
                y = row - 1;
                for theta = theta_range
                    rho = round((x * cosd(theta)) + (y * sind(theta)));                   
                    rho_index = rho + rho_maximum + 1;
                    theta_index = theta + theta_maximum + 1;
                    Hough(rho_index, theta_index) = Hough(rho_index, theta_index) + 1;
                end
            end
        end
    end
    
    close(wb);
 
end

A naive implementation of the Hough Transform using the normal line representation. You need to supply a thresholded gradient magnitude image as input. The resulting rho-theta Hough matrix can then be opened and view to get an idea of where lines in the image exist.

sir am completely new for how to implement this function on matlab. can you please send me the completed code(which give output when i give an image). [email protected]