Change detection using Mean ratio operator

    change detection is nothing but process of detecting difference between two different images . this can also be performed  by using Mean Ratio operator  give below 

µ1, µ2 is local mean values of images A and B.

the underlying idea of the optimal difference image is that unchanged pixels exhibit small values,whereas changed areas exhibit larger values. it show  changed region  but it doesn't enhance it.result is better then that of log ratio operator

procedure is giveb below

STEP1 : clear previous project variable, clear history , and close all the window

STEP2 : Read the two source images as A and B

Change detection using log ratio operator

    change detection is nothing but process of detecting difference between two different images . this can be performed  by using Log Ratio operator


The logarithmic operator is characterized by enhancing the low-intensity pixels while weakening the pixels in the areas of high intensity;therefore,the information of changed regions that is obtained by the log-ratio image may not be able to reflect the real changed trends in the maximum extent because of the weakening in the
areas of high-intensity pixels.

procedure is giveb below

STEP1 : clear previous project variable, clear history , and close all the window
STEP2 : Read the two source images as A and B

Neighbourhood operation in image processing

        Generally neighborhood operations is performed by the following command

Syntax

B = nlfilter(A, [m n], fun)
B = nlfilter(A, 'indexed',...)

Description

B = nlfilter(A, [m n], fun) applies the function fun to each m-by-n sliding block of the grayscale image A. fun is a function that accepts an m-by-n matrix as input and returns a scalar result.

IMAGE REGISTRATION

 

What is Image Registration ?

           In many situations one has two or more images of the same object where the differences between the images have to do with acquisition times, dissimilar acquisition hardware or changes in the shape of the object between exposures. To facilitate comparison between such images it is necessary to register them, i.e., to adjust them so that they match each other.

ARITHMETIC OPERATIONS ON IMAGE

 

Arithmetic operations addition,subtraction, division,and multiplication which is performed pixel by pixel between two images or among many images

Addition operation

which is also called pixel addition. addition operator add two images in pixel by pixel fashion .matlab coding is given below
coding :