Improve edge detection of image

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fatima ali 2014-10-31

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https://ww2.mathworks.cn/matlabcentral/answers/160818-improve-edge-detection-of-image

编辑： fatima ali 2014-11-11

i need function or code in matlab to Improve and edge detection this image

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Image Analyst 2014-10-31

What do you need to find? The outline of the whole foot, or the small fine lines and wrinkles within the foot.

per isakson 2014-10-31

It's not a good idea to call many questions "welcome please help me". I renamed this one.

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回答（1 个）

Image Analyst 2014-10-31

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此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/160818-improve-edge-detection-of-image#answer_157274

在 MATLAB Online 中打开

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);

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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