MATLAB: Object shape detection from the image.

Image Processing Toolboxmammogramradiograph

Hello, I want to detect the shape from the attached image.Please help me to detect the shape from the image.Here is the image link(imgur.com/cpNL9oH)and i want to detect the irregular shape from this image and from this another image(imgur.com/JvRCD0g)i want to detect the circle shape.Like this(<http://imgur.com/tUtUvNM).This> is a mammogram photo. I did some segmentation operation.

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I'm not even sure where the mass starts and stops. I suggest you consult the literature http://iris.usc.edu/Vision-Notes/bibliography/contentsmedical.html#Medical%20Applications,%20CAT,%20MRI,%20Ultrasound,%20Heart%20Models,%20Brain%20Models for algorithms.

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MATLAB: Crop dark area and display the face only

Convert to grayscale and then threshold and find the bounding box

clc;    % Clear the command window.
close all;  % Close all figures (except those of imtool.)
imtool close all;  % Close all imtool figures.
clear;  % Erase all existing variables. Or clearvars if you want.
workspace;  % Make sure the workspace panel is showing.
format long g;
format compact;
fontSize = 20;
% Read in the color image.
folder = pwd;
baseFileName = 'm2.bmp';
% 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, 3, 1);
imshow(rgbImage, []);
axis on;
title('Original Color Image', 'FontSize', fontSize);
drawnow;
% Enlarge figure to full screen.
set(gcf, 'units','normalized','outerposition',[0 0 1 1]);
% Histogram the red channel, but there is a huge spike at 255 so let's not count those.
subplot(2, 3, 2);
grayImage = rgb2gray(rgbImage);
imshow(grayImage, []);
title('Gray Scale version', 'FontSize', fontSize);
subplot(2, 3, 3);
histogram(grayImage(grayImage<255))
grid on;
title('Histogram of Gray Scale Image', 'FontSize', fontSize);
someThresholdValue = 150;
binaryImage = grayImage > someThresholdValue;
% Take largest blob
binaryImage = bwareafilt(binaryImage, 1);
subplot(2, 3, 4);
imshow(binaryImage);
grid on;
title('Binary Image', 'FontSize', fontSize);
% Label the binary image.
labeledImage = bwlabel(binaryImage);
props = regionprops(labeledImage, 'BoundingBox');
bbox = props.BoundingBox
croppedImageRGB = imcrop(rgbImage, bbox);
subplot(2, 3, 5);
imshow(croppedImageRGB);
grid on;
title('Cropped RGB Image', 'FontSize', fontSize);
% Gray scale version of cropped image
croppedImageGray = imcrop(grayImage, bbox);
subplot(2, 3, 6);
imshow(croppedImageGray);
grid on;
title('Cropped Gray Scale Image', 'FontSize', fontSize);

MATLAB: I have following code of image extraxtion but i got gray scale image output while giving input color image ,how could i get the color image output

I wouldn't do it that inefficient way at all. But that's another issue. Your problem is that you're casting your color image to a logical image, e, and then displaying that e instead of the color image c. Why are you doing that? Also, I apply a colormap after I've displayed the image, not before and I'm not sure if displaying an image will reinitialize the colormap.

I'd do it like this:

rgbImage=imread('new2.png');
% Display the original color image.
subplot(2, 3, 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);
binaryImageR = redChannel > 233;
binaryImageG = redChannel > 25 & redChannel < 30;
binaryImageB = blueChannel > 35 & blueChannel < 40;
% Display the binary images.
subplot(2, 3, 2);
imshow(binaryImageR);
title('Red Binary Image', 'FontSize', fontSize);
subplot(2, 3, 3);
imshow(binaryImageG);
title('Green Binary Image', 'FontSize', fontSize);
subplot(2, 3, 4);
imshow(binaryImageB);
title('Red Binary Image', 'FontSize', fontSize);
% Combine
binaryImage = binaryImageR & binaryImageG & binaryImageB;
subplot(2, 3, 5);
imshow(binaryImage);
title('Overall Binary Image', 'FontSize', fontSize);
% Mask the image.
maskedRgbImage = bsxfun(@times, rgbImage, cast(binaryImage,class(rgbImage)));
subplot(2, 3, 6);
imshow(maskedRgbImage);
title('Masked Color Image', 'FontSize', fontSize);

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MATLAB: Crop dark area and display the face only

MATLAB: I have following code of image extraxtion but i got gray scale image output while giving input color image ,how could i get the color image output

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