when i recombined bit plane image after histogram equalization,it is completely white not visible, can anyone tell me why, i try this code, please help me

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chitresh 2013-12-10

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评论： Image Analyst 2013-12-16

why my reconstruct image is white can anyone tell me i try this code

input = imread('input.jpg');

input_gray = rgb2gray(input);

bit_1 = bitget(input_gray,1);

bit_2 = bitget(input_gray,2);

histeq_1 = histeq(bit_1);

histeq_2 = histeq(bit_2);

reconstruct_image = zeros(size(input_gray));

reconstruct_image = uint8(reconstruct_image);

reconstruct_image = bitset(reconstruct_image,1,histeq_1);

reconstruct_image = bitset(reconstruct_image,2,histeq_2);

figure,imshow(reconstruct_image,[]),title('reconstruct image');

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Image Analyst 2013-12-10

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It makes absolutely no sense to do histogram equalization on a binary image.

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Image Analyst 2013-12-11

在 MATLAB Online 中打开

It's a uniform image. See my code:

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 = 15;
inputRGB = imread('peppers.png');
subplot(2,4,1);
imshow(inputRGB);
title('Original RGB', 'FontSize', fontSize, 'Interpreter', 'none');
input_gray = rgb2gray(inputRGB);
subplot(2,4,2);
imshow(input_gray);
title('input gray', 'FontSize', fontSize, 'Interpreter', 'none');
drawnow;
% Enlarge figure to full screen.
set(gcf, 'Units', 'Normalized', 'OuterPosition', [0 0 1 1]);
bit_1 = bitget(input_gray,1);
subplot(2,4,3);
imshow(bit_1, []);
title('bit_1', 'FontSize', fontSize, 'Interpreter', 'none');
bit_2 = bitget(input_gray,2);
subplot(2,4,4);
imshow(bit_2, []);
title('bit_2', 'FontSize', fontSize, 'Interpreter', 'none');
histeq_1 = histeq(bit_1);
subplot(2,4,5);
imshow(histeq_1, []);
title('histeq_1', 'FontSize', fontSize, 'Interpreter', 'none');
histeq_2 = histeq(bit_2);
subplot(2,4,6);
imshow(histeq_2, []);
title('histeq_2', 'FontSize', fontSize, 'Interpreter', 'none');
drawnow;
reconstruct_image = zeros(size(input_gray));
reconstruct_image = uint8(reconstruct_image);
reconstruct_image = bitset(reconstruct_image,1,histeq_1);
reconstruct_image = bitset(reconstruct_image,2,histeq_2);
subplot(2,4,7);
imshow(reconstruct_image,[])
title('reconstruct image', 'FontSize', fontSize, 'Interpreter', 'none');
message = sprintf('Min of reconstruct_image = %d.\nMax of reconstruct_image = %d.\n',...
  min(reconstruct_image(:)), max(reconstruct_image(:)));
fprintf('%s\n', message);
msgbox(message);

chitresh 2013-12-16

link any paper or book which defines your formula or defination

Image Analyst 2013-12-16

It's just common sense so I'm not going to try to find a paper that mentions it. Everybody knows this. The narrow the histogram, the more uniform the image and the wider it is, the more dynamic range and contrast you'll have. It would be like trying to find a paper that says if the mean of a histogram is higher then the intensity is higher - it's just common sense.

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