i want to crop the dark area in the image and display the face only without the dark area
MATLAB: Crop dark area and display the face only
cropface dark_area
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Pretty easy. Threshold, fill holes, take the 3 largest.
Solution below. Adapt as needed.
% Initialization steps.
clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
clear; % Erase all existing variables. Or clearvars if you want.
workspace; % Make sure the workspace panel is showing.
format long g;format compact;fontSize = 14;filename = fullfile(pwd, 'image_1.jpg');grayImage = imread(filename);if ndims(grayImage) == 3 % It's really an RGB image, not a gray scale image.
% Convert to gray scale
grayImage = rgb2gray(grayImage);endsubplot(2, 3, 1);imshow(grayImage, []);title('Original Image', 'FontSize', fontSize);% Threshold
subplot(2, 3, 2);imhist(grayImage);grid on;title('Histogram', 'FontSize', fontSize);mask = grayImage < 128; % or whatever value works
subplot(2, 3, 3);imshow(mask, []);title('Initial Binary Image', 'FontSize', fontSize);% Fill Holes
mask = imfill(mask, 'holes');subplot(2, 3, 4);imshow(mask, []);title('After holes filled', 'FontSize', fontSize);% Take 3 largest blobs then invert intensity.
mask = ~bwareafilt(mask, 3);subplot(2, 3, 5);imshow(mask, []);title('Final Image Showing 3 Largest', 'FontSize', fontSize);
Try this:
clc; % Clear the command window.
close all; % Close all figures (except those of imtool.)
workspace; % Make sure the workspace panel is showing.
format long g;format compact;fontSize = 25;%===============================================================================
% Get the name of the first image the user wants to use.
baseFileName = 'A.jpg';folder = fileparts(which(baseFileName)); % Determine where demo folder is (works with all versions).
fullFileName = fullfile(folder, baseFileName);% Check if file exists.
if ~exist(fullFileName, 'file') % The file doesn't exist -- didn't find it there in that folder.
% Check the entire search path (other folders) for the file by stripping off the folder.
fullFileNameOnSearchPath = baseFileName; % No path this time.
if ~exist(fullFileNameOnSearchPath, 'file') % Still didn't find it. Alert user.
errorMessage = sprintf('Error: %s does not exist in the search path folders.', fullFileName); uiwait(warndlg(errorMessage)); return; endend%=======================================================================================
% Read in demo image.
rgbImage = imread(fullFileName);% Get the dimensions of the image.
[rows, columns, numberOfColorChannels] = size(rgbImage);% Display the original image.
subplot(2, 2, 1);imshow(rgbImage, []);axis on;caption = sprintf('Original Color Image, %s', baseFileName);title(caption, 'FontSize', fontSize, 'Interpreter', 'None');% Set up figure properties:
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0.05 1 0.95]);% Get rid of tool bar and pulldown menus that are along top of figure.
% set(gcf, 'Toolbar', 'none', 'Menu', 'none');
% Give a name to the title bar.
set(gcf, 'Name', 'Demo by ImageAnalyst', 'NumberTitle', 'Off')drawnow;hp = impixelinfo(); % Set up status line to see values when you mouse over the image.
[rows, columns, numberOfColorChannels] = size(rgbImage)if numberOfColorChannels > 1 % It's not really gray scale like we expected - it's color.
% Use weighted sum of ALL channels to create a gray scale image.
% grayImage = rgb2gray(rgbImage);
% ALTERNATE METHOD: Convert it to gray scale by taking only the green channel,
% which in a typical snapshot will be the least noisy channel.
grayImage = rgbImage(:, :, 1); % Take red channel.
end% Display the image.
subplot(2, 2, 2);imshow(grayImage, []);axis on;caption = sprintf('Gray Image');title(caption, 'FontSize', fontSize, 'Interpreter', 'None');hp = impixelinfo();drawnow;% Display the histogram of the image.
subplot(2, 2, 3);histogram(grayImage, 256);caption = sprintf('Histogram of Gray Image');title(caption, 'FontSize', fontSize, 'Interpreter', 'None');grid on;drawnow;%=======================================================================================binaryImage = grayImage < 150;% Keep only the largest blob.
binaryImage = bwareafilt(binaryImage, 1);% Display the masked image.
subplot(2, 2, 3);imshow(binaryImage, []);axis on;caption = sprintf('Binary Image');title(caption, 'FontSize', fontSize, 'Interpreter', 'None');hp = impixelinfo();drawnow;% Get the bounding box of the blob.
props = regionprops(binaryImage, 'BoundingBox');boundingBox = [props.BoundingBox]% Display the original image.subplot(2, 2, 4);imshow(rgbImage, []);axis on;caption = sprintf('Original Color Image, %s', baseFileName);title(caption, 'FontSize', fontSize, 'Interpreter', 'None');% Plot the bounding box over it.
hold on;rectangle('Position', boundingBox, 'LineWidth', 2, 'EdgeColor', 'r')
Best Answer