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picture_HoughTransformation.m
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picture_HoughTransformation.m
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function picture_HoughTransformation
%% Function to plot Hough transformation and peaks detection
% author: [email protected]
gui = guidata(gcf);
currentimage = gui.picture.sem_image.CData;
high = gui.edge_detection.high;
%% Refreshing and getting values of variables
refreshdata(gui.handles.HT_RHO_VALUE, 'String');
%refreshdata(gui.handles.HT_THETA_VALUE, 'String');
refreshdata(gui.handles.HT_H_VALUE, 'String');
refreshdata(gui.handles.HT_THRES_VALUE, 'String');
refreshdata(gui.handles.HT_FILLGAP_VALUE, 'String');
refreshdata(gui.handles.HT_MINLENGTH_VALUE, 'String');
RHO_VALUE = str2num(get(gui.handles.HT_RHO_VALUE, 'string'));
%THETA_VALUE = str2num(get(gui.handles.HT_THETA_VALUE, 'string'));
H_VALUE = str2num(get(gui.handles.HT_H_VALUE, 'string'));
THRES_VALUE = str2num(get(gui.handles.HT_THRES_VALUE, 'string'));
FILLGAP_VALUE = str2num(get(gui.handles.HT_FILLGAP_VALUE, 'string'));
MINLENGTH_VALUE = str2num(get(gui.handles.HT_MINLENGTH_VALUE, 'string'));
%% Hough transformation
[H, theta, rho] = ...
hough(high, 'RhoResolution', RHO_VALUE, 'Theta', -90:0.5:89.5);
%gui.figure.HoughTransform = figure('Name', 'Hough transform', 'NumberTitle', 'off');
set(gui.figure.main_window, 'CurrentAxes', gui.axes_2);
set(gui.axes_2, 'Visible', 'on');
gui.picture.Hough_image = imshow(imadjust(mat2gray(H)), [], ...
'XData', theta, ...
'YData', rho, ...
'InitialMagnification', 'fit');
xlabel('\theta (degrees)'), ylabel('\rho');
axis on;
axis normal;
hold on;
colormap(hot);
%% Hough peaks detection
P = houghpeaks(H, H_VALUE, 'threshold', ceil(THRES_VALUE*max(H(:))));
x = theta(P(:, 2));
y = rho(P(:, 1));
gui.picture.Hough_peaks = plot(x, y, 's', 'color', 'black');
% Set current axes
set(gui.figure.main_window, 'CurrentAxes', gui.axes);
%% Hough lines plotting
lines = ...
houghlines(high, theta, ...
rho, P, ...
'FillGap', FILLGAP_VALUE, ...
'MinLength', MINLENGTH_VALUE);
%gui.figure.HoughLines = figure('Name', 'Hough lines', 'NumberTitle', 'off');
set(0, 'CurrentFigure', gui.figure.main_window);
set(gui.figure.main_window, 'CurrentAxes', gui.axes);
gui.picture.sem_image = imshow(currentimage);
hold on;
max_len = 0;
ii = 1;
for kk = 1:length(lines)
xy = [lines(kk).point1; lines(kk).point2];
gui.picture.Hough_lines = plot(xy(:, 1), xy(:, 2), 'LineWidth', 2, 'Color', 'green');
% Plot beginnings and ends of lines
gui.picture.Hough_endpoints1 = plot(xy(1, 1), xy(1, 2), 'x', 'LineWidth', 2, 'Color', 'yellow');
gui.picture.Hough_endpoints2 = plot(xy(2, 1), xy(2, 2), 'x', 'LineWidth', 2, 'Color', 'red');
% Determine the endpoints of the longest line segment
len = norm(lines(kk).point1 - lines(kk).point2);
if (len > max_len)
max_len = len;
xy_long = xy;
end
xy_lines(ii:ii+1,:) = xy;
ii = ii + 2;
end
%% Set variables
gui.Hough.H = H;
gui.Hough.theta = theta;
gui.Hough.rho = rho;
gui.Hough.P = P;
gui.Hough.lines = lines;
gui.Hough.lines_xy = xy_lines;
gui.flag.HoughTrans = 1;
guidata(gcf, gui);
end