Improve edge detection of image

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fatima ali
fatima ali on 31 Oct 2014
Edited: fatima ali on 11 Nov 2014
i need function or code in matlab to Improve and edge detection this image
  2 Comments
Image Analyst
Image Analyst on 31 Oct 2014
What do you need to find? The outline of the whole foot, or the small fine lines and wrinkles within the foot.
per isakson
per isakson on 31 Oct 2014
It's not a good idea to call many questions "welcome please help me". I renamed this one.

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Answers (1)

Image Analyst
Image Analyst on 31 Oct 2014
Didn't hear from you so I just guessed.
clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
imtool close all; % Close all imtool figures if you have the Image Processing Toolbox.
clear; % Erase all existing variables. Or clearvars if you want.
workspace; % Make sure the workspace panel is showing.
format long g;
format compact;
fontSize = 24;
%===============================================================================
% Read in a standard MATLAB color demo image.
folder = 'C:\Users\fatima\Documents\Temporary';
baseFileName = 'foot.jpg';
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
if ~exist(fullFileName, 'file')
% Didn't find it there. Check the search path for it.
fullFileName = baseFileName; % No path this time.
if ~exist(fullFileName, 'file')
% Still didn't find it. Alert user.
errorMessage = sprintf('Error: %s does not exist.', fullFileName);
uiwait(warndlg(errorMessage));
return;
end
end
rgbImage = imread(fullFileName);
% Get the dimensions of the image. numberOfColorBands should be = 3.
[rows, columns, numberOfColorBands] = size(rgbImage);
% Display the original color image.
subplot(2, 2, 1);
imshow(rgbImage);
title('Original Color Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'Outerposition', [0, 0, 1, 1]);
% Extract the individual red, green, and blue color channels.
redChannel = rgbImage(:, :, 1);
greenChannel = rgbImage(:, :, 2);
blueChannel = rgbImage(:, :, 3);
binaryImage = blueChannel < 118;
% Display the original color image.
subplot(2, 2, 2);
imshow(binaryImage);
axis on;
title('Initial Binary Image', 'FontSize', fontSize);
% Clean it up.
% Fill holes.
binaryImage = imfill(binaryImage, 'holes');
% Get rid of small blobs.
binaryImage = bwareaopen(binaryImage, 10000);
% Smooth border
binaryImage = imclose(binaryImage, true(5));
% Display the original color image.
subplot(2, 2, 3);
imshow(binaryImage);
axis on;
title('Cleaned Binary Image', 'FontSize', fontSize);
% Get the boundary and outline it over the original image.
boundaries = bwboundaries(binaryImage);
x = boundaries{1}(:, 2);
y = boundaries{1}(:, 1);
% Display the original color image.
subplot(2, 2, 4);
imshow(rgbImage);
title('Outline over Original Color Image', 'FontSize', fontSize);
% Plot boundaries over it.
hold on;
plot(x, y, 'g-', 'LineWidth', 2);
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fatima ali
fatima ali on 1 Nov 2014
sorry but in this code convert image to binary ...but i need convert image to gray and edge detection
Image Analyst
Image Analyst on 1 Nov 2014
Your edge detection images were binary images. Why is it okay for you to use a binary image to get the outline but I can't? Anyway, who cares if there's a binary image involved as long as you get the outline you want? What difference does it make? It works and that's all that counts.

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