object shape detection from the image.

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.

Answer 1

[Image Analyst]

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.

Answer 2

[Naishil shah]

Thank you Image analyst.I want to crop the green

outline portion from the image.Here is the image and i want only inner portion.Image analyst i want to crop it automatically please help me for this.I want output which i am showing you in a different image.

[Image Analyst]

Try this:

    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 = 20;

    % Read in a standard MATLAB color demo image.
    folder = 'C:\Users\shah\Documents';
    baseFileName = 'cc1.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);

    % Get binary image of the green rectangle
    binaryImage = redChannel < 200 & greenChannel > 200 & blueChannel < 200;
    % Display the image.
    subplot(2, 2, 2);
    imshow(binaryImage);
    title('Binary Image', 'FontSize', fontSize);

    % Fill the rectangle
    binaryImage = imfill(binaryImage, 'holes');
    % Get rid of small things
    % binaryImage = bwareaopen(binaryImage, 1000);
    % Get the convex hull
    binaryImage = bwconvhull(binaryImage, 'objects');
    % Display the image.
    subplot(2, 2, 3);
    imshow(binaryImage);
    title('Binary Image', 'FontSize', fontSize);

    % Measure areas
    measurements = regionprops(binaryImage, 'Area', 'BoundingBox');
    % Take the largest one
    allAreas = [measurements.Area];
    [sortedAreas, indexes] = sort(allAreas, 'Descend');
    % Get it's bounding box.
    boundingBox = measurements(indexes(1)).BoundingBox;
    % Crop the image
    croppedImage = imcrop(rgbImage, boundingBox);

    % Display the cropped color image.
    subplot(2, 2, 4);
    imshow(croppedImage);
    title('Cropped Color Image', 'FontSize', fontSize);