Plot the Image details using histogram

This program displays  following details for a given image

1.      Jet Colormap Image

2.      Background Estimation

3.      Flattened Background Removal

4.      Image Thresholding

5.      Connected Region

6.      Size Distribution Graph

7.   Statistical Measurement

Source Code:

clc;

clear all;

close all;

inputImg = imread('rice.png');

subplot(2,3,1);

imshow(inputImg);

title('Original Image');

subplot(2,3,2)

imshow(inputImg);

colormap(Jet); % Sets the current figures map to JET

title('Jet Colormap Image');

% Background Estimation

% imopen performs morphological opening on the grayscale or binary image

% strel is used to creat disk shaped structuring element of radius 10

ImageBackground = imopen(inputImg,strel('disk',10));

subplot(2,3,3);

imshow(ImageBackground);

colormap(Jet);

title('Background Estimation');

% Background Removal

subImg = imsubtract(inputImg,ImageBackground);

subplot(2,3,4);

imshow(subImg);

title('Flattened Background Removal');

% Segment Grains from the background, obtains the binary Image

% graythresh computes Global Image Threshold

subplot(2,3,5);

binaryImg = im2bw(subImg,graythresh(subImg));

imshow(binaryImg);

title('Thrsholded Image');

% Label Connected Region

[L NUM] = bwlabel(binaryImg);

subplot(2,3,6);

imshow(L,[]);

colormap(jet);

pixval('on'); % Display information about image pixels.

title('Connected Region');

% Feature Extraction

% Measures a set of properties for each labeled region in the label matrix L.

stats = regionprops(L);

A = [stats.Area];

figure;

hist(A);

xlabel('Area in Pixels');

ylabel('Popularity');

title('Size Distribution');

% Statistical Measurement

mean(A);

std(A);

median(A);