I have quantized hsv into 8×3×3 combinations,so I want to find what is number of pixels per each bin how do I do it

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teja jayavarapu 2018-1-13

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Answer 1

Image Analyst 2018-1-13

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If you have taken the 3-D histogram, then you have the values. If you really "have quantized hsv into 8×3×3 combinations" then how can you not have that variable??? What happened to it? Did you clear it for some reason? If so, why?

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Image Analyst 2018-1-13

在 MATLAB Online 中打开

That does not give every combination. That just does one channel at a time. 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 = 20;
%===============================================================================
% Get the name of the image the user wants to use.
baseFileName = '523.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;
  end
end
%=======================================================================================
% Read in demo image.
rgbImage = imread(fullFileName);
% Get the dimensions of the image.
[rows, columns, numberOfColorChannels] = size(rgbImage);
% Plot 3-D color gamut.
colorcloud(rgbImage);
% Display the original image.
subplot(2, 1, 1);
imshow(rgbImage, []);
axis on;
caption = sprintf('Original Color Image, %s', baseFileName);
title(caption, 'FontSize', fontSize, 'Interpreter', 'None');
hp = impixelinfo(); % Set up status line to see values when you mouse over the image.
% 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;
% Convert to hsv color space
hsvImage = rgb2hsv(rgbImage);
% Extract the separate channels
hImage = hsvImage(:, :, 1);
vImage = hsvImage(:, :, 2);
sImage = hsvImage(:, :, 3);
% Create the histogram quantized into 8×3×3 bins
hist3d = zeros(8, 3, 3);
for k = 1 : numel(hImage)
  indexH = floor(8 * hImage(k)) + 1;
  indexS = floor(3 * sImage(k)) + 1;
  indexV = floor(3 * vImage(k)) + 1;
  if indexH > 8
    indexH = 8;
  end
  if indexS > 3
    indexS = 3;
  end
  if indexV > 3
    indexV = 3;
  end
%   fprintf('hImage(%d) = %f, which gives an index of %d.  hImage(%d) = %f, which gives an index of %d.  hImage(%d) = %f, which gives an index of %d.\n',...
%     k, hImage(k), indexH, k2, sImage(k), indexS, k, vImage(k), indexV)
  hist3d(indexH, indexS, indexV) = hist3d(indexH, indexS, indexV) + 1;
end
hist3d % Print to command window.

teja jayavarapu 2018-1-16

Why you have taken second dimension as v in the above code

Image Analyst 2018-1-16

在 MATLAB Online 中打开

Sorry, it should be h,s,v=1,2,3

hImage = hsvImage(:, :, 1);
sImage = hsvImage(:, :, 2);
vImage = hsvImage(:, :, 3);

Answer 2

teja jayavarapu 2018-1-13

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If I divide image into N×N blocks how do we apply this quantification for different blocks

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Image Analyst 2018-1-14

Same way I already showed you. The code does not care where rgbImage came from: imread() or indexing a block of a larger image. The code works the same regardless of where rgbImage originated.

Answer 3

teja jayavarapu 2018-1-14

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a=imread(img); [rows, cols, numOfBands] = size(a); mr=round(rows/2); mc=round(cols/2); image1=a(1:mr,1:mc); image2=a(1:mr,(mc+1):cols); image3=a((mr+1):rows,1:mc); image4=a((mr+1):rows,(mc+1):cols); subplot(4,3,2) imshow(img) subplot(4,3,5) imshow(image1) subplot(4,3,6) imshow(image2) subplot(4,3,8) imshow(image3) subplot(4,3,9) imshow(image4) I HAVE DIVIDED THE IMAGE INTO 4 BLOCKS IS THERE ANY BETTER WAY OR THERE IS ANY DIRECT COMMAND IN MATLAB TO DO THIS?