MATLAB: Uniform local binary pattern

Image Processing Toolboxlocal binary patternlpbuniform local binary pattern

i need a matlab source code for "uniform local binary pattern" for textural features..

Best Answer

I don't know what "uniform" means with respect to LBP, but here is my demo for LBP, for what it's worth. It computes the LBP for each pixel with 8 different starting points. In other words, I have each of the 8 neighbors be bit 0 in turn, thus producing 8 LBP images. You can see they're all slightly different but essentially similar:

% Computes the local binary pattern of an image.  Actually 8 of them with the "starting point" for the binary number at each of the 8 neighbor directions.
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.
workspace;  % Make sure the workspace panel is showing.
fontSize = 20;
% Read in a standard MATLAB gray scale demo image.
folder = fileparts(which('cameraman.tif')); % Determine where demo folder is (works with all versions).
baseFileName = 'cameraman.tif';
% 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
grayImage = imread(fullFileName);
% Get the dimensions of the image.  numberOfColorBands should be = 1.
[rows columns numberOfColorBands] = size(grayImage);
% Display the original gray scale image.
subplot(2, 2, 1);
imshow(grayImage, []);
title('Original Grayscale Image', 'FontSize', fontSize);
% Enlarge figure to full screen.

set(gcf, 'Units', 'Normalized', 'OuterPosition', [0, 0.04, 1, 0.96]);
set(gcf,'name','Image Analysis Demo','numbertitle','off')
% Let's compute and display the histogram.
[pixelCount grayLevels] = imhist(grayImage);
subplot(2, 2, 2);
bar(pixelCount, 'BarWidth', 1, 'EdgeColor', 'none');
grid on;
title('Histogram of Original Gray Scale Image', 'FontSize', fontSize);
xlim([0 grayLevels(end)]); % Scale x axis manually.
% Preallocate/instantiate array for the local binary pattern.
localBinaryPatternImage1 = zeros(size(grayImage), 'uint8');
localBinaryPatternImage2 = zeros(size(grayImage), 'uint8');
localBinaryPatternImage3 = zeros(size(grayImage), 'uint8');
localBinaryPatternImage4 = zeros(size(grayImage), 'uint8');
localBinaryPatternImage5 = zeros(size(grayImage), 'uint8');
localBinaryPatternImage6 = zeros(size(grayImage), 'uint8');
localBinaryPatternImage7 = zeros(size(grayImage), 'uint8');
localBinaryPatternImage8 = zeros(size(grayImage), 'uint8');
tic;
for row = 2 : rows - 1
	for col = 2 : columns - 1
		centerPixel = grayImage(row, col);
		pixel7=grayImage(row-1, col-1) > centerPixel;
		pixel6=grayImage(row-1, col) > centerPixel;
		pixel5=grayImage(row-1, col+1) > centerPixel;
		pixel4=grayImage(row, col+1) > centerPixel;
		pixel3=grayImage(row+1, col+1) > centerPixel;
		pixel2=grayImage(row+1, col) > centerPixel;
		pixel1=grayImage(row+1, col-1) > centerPixel;
		pixel0=grayImage(row, col-1) > centerPixel;
		
		% Create LBP image with the starting, LSB pixel in the upper left.
		eightBitNumber = uint8(...
			pixel7 * 2^7 + pixel6 * 2^6 + ...
			pixel5 * 2^5 + pixel4 * 2^4 + ...
			pixel3 * 2^3 + pixel2 * 2^2 + ...
			pixel1 * 2 + pixel0);
		% Or you can use the built-in function bwpack(), which is somewhat simpler but a lot slower.







		% 		eightBitNumber = uint8(bwpack([pixel0; pixel1; pixel2; pixel3; pixel4; pixel5; pixel6; pixel7]));







		localBinaryPatternImage1(row, col) = eightBitNumber;
		
		% Create LBP image with the starting, LSB pixel in the upper middle.
		eightBitNumber = uint8(...
			pixel6 * 2^7 + pixel5 * 2^6 + ...
			pixel5 * 2^4 + pixel3 * 2^4 + ...
			pixel3 * 2^2 + pixel1 * 2^2 + ...
			pixel0 * 2 + pixel7);
		% Or you can use the built-in function bwpack(), which is somewhat simpler but a lot slower.
		% 		eightBitNumber = uint8(bwpack([pixel0; pixel1; pixel2; pixel3; pixel4; pixel5; pixel6; pixel7]));
		localBinaryPatternImage2(row, col) = eightBitNumber;
		
		% Create LBP image with the starting, LSB pixel in the upper right.
		eightBitNumber = uint8(...
			pixel5 * 2^7 + pixel4 * 2^6 + ...
			pixel3 * 2^5 + pixel2 * 2^4 + ...
			pixel1 * 2^3 + pixel0 * 2^2 + ...
			pixel7 * 2 + pixel6);
		% Or you can use the built-in function bwpack(), which is somewhat simpler but a lot slower.
		% 		eightBitNumber = uint8(bwpack([pixel0; pixel1; pixel2; pixel3; pixel4; pixel5; pixel6; pixel7]));
		localBinaryPatternImage3(row, col) = eightBitNumber;
		
		% Create LBP image with the starting, LSB pixel in the center right.
		eightBitNumber = uint8(...
			pixel4 * 2^7 + pixel3 * 2^6 + ...
			pixel2 * 2^5 + pixel1 * 2^4 + ...
			pixel0 * 2^3 + pixel7 * 2^2 + ...
			pixel6 * 2 + pixel5);
		% Or you can use the built-in function bwpack(), which is somewhat simpler but a lot slower.
		% 		eightBitNumber = uint8(bwpack([pixel0; pixel1; pixel2; pixel3; pixel4; pixel5; pixel6; pixel7]));
		localBinaryPatternImage4(row, col) = eightBitNumber;
		
		% Create LBP image with the starting, LSB pixel in the lower right.
		eightBitNumber = uint8(...
			pixel3 * 2^7 + pixel2 * 2^6 + ...
			pixel1 * 2^5 + pixel0 * 2^4 + ...
			pixel7 * 2^3 + pixel6 * 2^2 + ...
			pixel5 * 2 + pixel0);
		% Or you can use the built-in function bwpack(), which is somewhat simpler but a lot slower.
		% 		eightBitNumber = uint8(bwpack([pixel0; pixel1; pixel2; pixel3; pixel4; pixel5; pixel6; pixel7]));
		localBinaryPatternImage5(row, col) = eightBitNumber;
		
		% Create LBP image with the starting, LSB pixel in the lower center.
		eightBitNumber = uint8(...
			pixel2 * 2^7 + pixel1 * 2^6 + ...
			pixel0 * 2^5 + pixel7 * 2^4 + ...
			pixel6 * 2^3 + pixel5 * 2^2 + ...
			pixel4 * 2 + pixel3);
		% Or you can use the built-in function bwpack(), which is somewhat simpler but a lot slower.
		% 		eightBitNumber = uint8(bwpack([pixel0; pixel1; pixel2; pixel3; pixel4; pixel5; pixel6; pixel7]));
		localBinaryPatternImage6(row, col) = eightBitNumber;
		
		% Create LBP image with the starting, LSB pixel in the lower left.
		eightBitNumber = uint8(...
			pixel1 * 2^7 + pixel0 * 2^6 + ...
			pixel7 * 2^5 + pixel6 * 2^4 + ...
			pixel5 * 2^3 + pixel4 * 2^2 + ...
			pixel3 * 2 + pixel2);
		% Or you can use the built-in function bwpack(), which is somewhat simpler but a lot slower.
		% 		eightBitNumber = uint8(bwpack([pixel0; pixel1; pixel2; pixel3; pixel4; pixel5; pixel6; pixel7]));
		localBinaryPatternImage7(row, col) = eightBitNumber;
		
		% Create LBP image with the starting, LSB pixel in the center left.
		eightBitNumber = uint8(...
			pixel0 * 2^7 + pixel7 * 2^6 + ...
			pixel6 * 2^5 + pixel5 * 2^4 + ...
			pixel4 * 2^3 + pixel3 * 2^2 + ...
			pixel2 * 2 + pixel1);
		% Or you can use the built-in function bwpack(), which is somewhat simpler but a lot slower.
		% 		eightBitNumber = uint8(bwpack([pixel0; pixel1; pixel2; pixel3; pixel4; pixel5; pixel6; pixel7]));
		localBinaryPatternImage8(row, col) = eightBitNumber;
		
	end
end
toc;
% Outer layer of pixels will be zero because they didn't have 8 neighbors.
% So, to avoid a huge spike in the histogram at zero, replace the outer layer of pixels with the next closest layer.
localBinaryPatternImage1(1, :) = localBinaryPatternImage1(2, :);
localBinaryPatternImage1(end, :) = localBinaryPatternImage1(end-1, :);
localBinaryPatternImage1(:, 1) = localBinaryPatternImage1(:, 2);
localBinaryPatternImage1(:, end) = localBinaryPatternImage1(:, end-1);
subplot(2,2,3);
imshow(localBinaryPatternImage1, []);
title('Local Binary Pattern', 'FontSize', fontSize);
hp = impixelinfo();
hp.Units = 'normalized';
hp.Position = [0.2, 0.5, .5, .03];
subplot(2,2,4);
[pixelCounts, GLs] = imhist(uint8(localBinaryPatternImage1(2:end-1, 2:end-1)));
bar(GLs, pixelCounts, 'BarWidth', 1, 'EdgeColor', 'none');
grid on;
title('Histogram of Local Binary Pattern', 'FontSize', fontSize);
% Bring up another figure with all 8 LBP images on it, plus the average of them all.
LBPAverageImage = (double(localBinaryPatternImage1) + double(localBinaryPatternImage2) + double(localBinaryPatternImage3) + double(localBinaryPatternImage4) + double(localBinaryPatternImage5) + double(localBinaryPatternImage6) + double(localBinaryPatternImage7) + double(localBinaryPatternImage8)) / 8;
figure;
subplot(3, 3, 1);
imshow(localBinaryPatternImage1);
title('LSB at upper left', 'FontSize', fontSize);
subplot(3, 3, 2);
imshow(localBinaryPatternImage2);
title('LSB at upper center', 'FontSize', fontSize);
subplot(3, 3, 3);
imshow(localBinaryPatternImage3);
title('LSB at upper right', 'FontSize', fontSize);
subplot(3, 3, 6);
imshow(localBinaryPatternImage4);
title('LSB at center right', 'FontSize', fontSize);
subplot(3, 3, 9);
imshow(localBinaryPatternImage5);
title('LSB at lower right', 'FontSize', fontSize);
subplot(3, 3, 8);
imshow(localBinaryPatternImage6);
title('LSB at lower center', 'FontSize', fontSize);
subplot(3, 3, 7);
imshow(localBinaryPatternImage7);
title('LSB at lower left', 'FontSize', fontSize);
subplot(3, 3, 4);
imshow(localBinaryPatternImage8);
title('LSB at center left', 'FontSize', fontSize);
subplot(3, 3, 5);
imshow(LBPAverageImage, []);
title('Average of the 8', 'FontSize', fontSize, 'Color', 'r', 'FontWeight', 'bold');
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0, 0.04, 1, 0.96]);
set(gcf,'name','Image Analysis Demo','numbertitle','off')
impixelinfo;
% threshold(128, 255, localBinaryPatternImage);
% Run through each gray level, displaying a map of where these gray levels occur.
% figure;
% for gl = 0 : 255
% 	binaryImage = localBinaryPatternImage1 == gl;
% 	imshow(binaryImage);
% 	caption = sprintf('LBP Image.  Pixels with Gray Level = %d', gl);
% 	title(caption, 'FontSize', 12);
% 	drawnow;
% 	pause(0.04);
% end

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MATLAB: How to separate the whole lip image into upper and lower part using code

Do you mean like this:

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 = 15;
%===============================================================================

% Get the name of the image the user wants to use.
baseFileName = 'originalimage.jpg';
% Get the full filename, with path prepended.
folder = pwd
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;
  end
end
%===============================================================================
% Read in demo image.
rgbImage = imread(fullFileName);
% Get the dimensions of the image.
[imageRows, imageColumns, numberOfColorChannels] = size(rgbImage);
% Display the original image.
subplot(3, 3, 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 1 1]);
% 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.
% Crop the image
rgbImage = rgbImage(29:391, 87:762, :);
% Convert to HSV color space so we can segment the saturation channel.
hsvImage = rgb2hsv(rgbImage);
sImage = hsvImage(:, :, 2);
% Display the image.





subplot(3, 3, 2);
imshow(sImage, []);
axis on;
caption = sprintf('Saturation Image');
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
% Display the histogram
subplot(3, 3, 3);
histogram(sImage);
grid on;
title('Histogram of Saturation Image', 'FontSize', fontSize);
% Threshold the image
saturationThreshold = 0.15;
mask = sImage > saturationThreshold;
% Fill holes.
mask = imfill(mask, 'holes');
% Extract the two largest blobs only.
mask = bwareafilt(mask, 2);
% Put a red line at the threshold.
line([saturationThreshold, saturationThreshold], ylim, 'Color', 'r', 'LineWidth', 3);
% Display the image.
subplot(3, 3, 4);
imshow(mask, []);
axis on;
caption = sprintf('Mask Image');
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
% Give each blob an ID number.
labeledImage = bwlabel(mask);
% Get the top and bottom mask
topMask = ismember(labeledImage, 1);
bottomMask = ismember(labeledImage, 2);
% Display the image.
subplot(3, 3, 5);
imshow(topMask, []);
axis on;
caption = sprintf('Top Mask Image');
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
% Display the image.
subplot(3, 3, 6);
imshow(bottomMask, []);
axis on;
caption = sprintf('Bottom Mask Image');
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
% Mask the original RGB image and display.
% Mask the image using bsxfun() function
topMaskedRgbImage = bsxfun(@times, rgbImage, cast(topMask, 'like', rgbImage));
bottomMaskedRgbImage = bsxfun(@times, rgbImage, cast(bottomMask, 'like', rgbImage));
% Display the image.
subplot(3, 3, 7);
imshow(topMaskedRgbImage, []);
axis on;
caption = sprintf('Top Mask Image');
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;
% Display the image.
subplot(3, 3, 8);
imshow(bottomMaskedRgbImage, []);
axis on;
caption = sprintf('Bottom Mask Image');
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
drawnow;

MATLAB: Adding Noise to the Image

Try this:

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.
workspace;  % Make sure the workspace panel is showing.
format longg;
format compact;
fontSize = 20;
%===============================================================================
% Read in a standard MATLAB gray scale demo image.
folder = fileparts(which('cameraman.tif')); % Determine where demo folder is (works with all versions).
baseFileName = 'cameraman.tif';
% Get the full filename, with path prepended.
fullFileName = fullfile(folder, baseFileName);
% Check if file exists.
if ~exist(fullFileName, 'file')
  % File doesn't exist -- didn't find it there.  Check the search path for it.
  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;
  end
end
grayImage = imread(fullFileName);
% Get the dimensions of the image.  
% numberOfColorBands should be = 1.
[rows, columns, numberOfColorBands] = size(grayImage);
if numberOfColorBands > 1
  % It's not really gray scale like we expected - it's color.
  % Convert it to gray scale by taking only the green channel.
  grayImage = grayImage(:, :, 2); % Take green channel.
end
% Display the original gray scale image.
subplot(1, 2, 1);
imshow(grayImage, []);
title('Original Grayscale Image', 'FontSize', fontSize);
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);
% Give a name to the title bar.
set(gcf, 'Name', 'Demo by ImageAnalyst', 'NumberTitle', 'Off') 
% Initialize an output image.
noisyImage = grayImage; % Initialize
% Get 5,000 random locations
noiseIndexes = randperm(numel(grayImage), 5000);
% Add noise
noisyImage(noiseIndexes) = 255;
% Display the noisy image.
subplot(1, 2, 2);
imshow(noisyImage, []);
title('Noisy Image', 'FontSize', fontSize);
axis on;

Best Answer

Related Solutions

MATLAB: How to separate the whole lip image into upper and lower part using code

MATLAB: Adding Noise to the Image

Related Question