Match images using histogram matching method

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Explorer 2013-10-5

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https://ww2.mathworks.cn/matlabcentral/answers/89252-match-images-using-histogram-matching-method

评论： Image Analyst 2013-10-7

Can we match two images (as shown in page mentioned below) using histogram matching method? If yes, please let me know how.

http://www.2shared.com/photo/8YoqzNG1/two_images_to_match.html

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Answer 1

Image Analyst 2013-10-5

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https://ww2.mathworks.cn/matlabcentral/answers/89252-match-images-using-histogram-matching-method#answer_98716

编辑：Image Analyst 2013-10-5

在 MATLAB Online 中打开

Yes, but I don't think that's what you want. Sure you can make one image have the same histogram as another image, and in fact I have such an app in my File Exchange, but I think what you really want to do is to take a test image and see if there's a similar one in a catalog of gesture images. Doing this may or may not involve histogram matching, but I'm sure it involves a lot more. I suggest you look here in Vision Bib at Gesture Recognition to see how people are classifyinging gestures and hand signals and sign language.

|21.4.2 Gesture Recognition Techniques

    21.4.2.1 Gesture, Overviews, Surveys, Evaluations
    21.4.2.2 Pointing Gestures, Pointing Systems
    21.4.2.3 Hand Gesture Systems, Hand Posture, Hand Pose
    21.4.2.4 Hand Tracking for Gestures
        21.4.2.4.1 Arm Tracking, Arm Pose for Gestures 
    21.4.2.5 Gesture Recognition Systems, Applications, Human Computer Interaction Systems
        21.4.2.5.1 Gesture Systems, Surfaces, Desks, Tables
        21.4.2.5.2 Gesture Systems, Game Controls, Game Interactions
        21.4.2.5.3 Gesture Systems, Using Depth Images, Range Data, Stereo Analysis for Gestures 
    21.4.2.6 Music Related Gestures, Systems, Music Video Analysis
    21.4.2.7 American Sign Language, ASL Recognition
        21.4.2.7.1 Sign Language, Other Languages, Chinese, Arabic
        21.4.2.7.2 Sign Language, Fingerspelling|

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Explorer 2013-10-6

编辑：Explorer 2013-10-6

I have constructed feature vectors. Please see if they are correct or not. Also guide me how can I compare them.

clear all; close all; clc;

im1=imread('106a.jpg'); im2=imread('107a.jpg');

im1g=rgb2gray(im1); im2g=rgb2gray(im2);

%% Calculating mean of im1 grayImage=rgb2gray(im1);

subplot(1, 2, 1); imshow(grayImage, []); title('Original Grayscale Image'); set(gcf, 'Position', get(0,'Screensize')); % Enlarge figure to full %screen.

% Let's get its histogram. [pixelCount grayLevels] = imhist(grayImage); subplot(1, 2, 2); bar(pixelCount); title('Histogram of original image'); xlim([0 grayLevels(end)]); % Scale x axis manually. yRange = ylim; % Calculate the mean gray level meanGL = sum(pixelCount .* grayLevels) / sum(pixelCount)

%% Calculating mean of im2

grayImage2=rgb2gray(im2);

figure, subplot(1, 2, 1); imshow(grayImage2, []); title('Original Grayscale Image'); set(gcf, 'Position', get(0,'Screensize')); % Enlarge figure to full %screen.

% Let's get its histogram. [pixelCount2 grayLevels2] = imhist(grayImage2); subplot(1, 2, 2); bar(pixelCount2); title('Histogram of original image'); xlim([0 grayLevels2(end)]); % Scale x axis manually. yRange2 = ylim; % Calculate the mean gray level meanGL2 = sum(pixelCount2 .* grayLevels2) / sum(pixelCount2)

%% Calculating standard deviation

st_d1=std(double(im1)); st_d2=std(double(im2));

%% Calculating Skewness

sk1=skewness(double(im1)); sk2=skewness(double(im2));

%% Calculating RMS

rms1=rms(im1); rms2=rms(im2);

%% Calculating median absolute

md1=mad(double(im1)); md2=mad(double(im2));

%% Contruct a feature vector

fv1=[ meanGL, st_d1, sk1, rms1, md1 ] ; fv2= [ meanGL2, st_d2, sk2, rms2, md2 ] ;

%% compare feature vector

Explorer 2013-10-7

编辑：Explorer 2013-10-7

Please tell me how to compare feature vector in this case.

Image Analyst 2013-10-7

I can't do that. Every case is unique. Maybe you can scale each feature to a number between 0 and 1 and look for the minimum median absolute difference (see wikipedia).

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