Bit Plane Slicing in MATLAB

       Read fractal.jpg file. Display individual bits as binary image. Display and comment on the result.  (Hint: use bitget built-in function)

CODE:

clc; clear;

A=imread('fractal.jpg');

[row,col]=size(A);

subplot(3,3,1), imshow(A), title('Original Image');

C=zeros(row,col,8);

for k=1:8

    for i=1:row

        for j=1:col

            C(i,j,k)=bitget(A(i,j),k);        %Bit slicing

        end

    end

    subplot(3,3,k+1), imshow(C(:,:,k)), title(['Bit Plane ',num2str(k-1)]);

end

OUTPUT RESULT :

We observe that the three higher order planes, especially the 8^th bit plane, contain a significant amount of the visually significant data. The lower order planes contribute to more subtle intensity details in the image. Decomposing an image into its bit planes is useful for analyzing the relative importance of each bit in the image and is useful for image compression.

Gray Level Slicing in MATLAB

 Gray Level Slicing: High-light specific range of gray values without background and with background.

       Read kidney.tif file. Enter lower and upper threshold value from the user. Apply gray level slicing with and without background. Display the result.

 CODE:

clc; clear all;

i=imread('kidney.tif');          % should be graylevel image

j=double(i);

k=double(i);

[row,col]=size(j);

T1=input('Enter the Lowest threshold value:');

T2=input('Enter the Highest threshold value:');

for x=1:row            

    for y=1:col        

        if((j(x,y)>T1) && (j(x,y)<T2))

            j(x,y)=i(x,y);

            k(x,y)=255;

        else

            j(x,y)=0;

            k(x,y)=0;

        end

    end

end

subplot(311), imshow(i), title('Original image')   

subplot(312), imshow(uint8(j)), title('Graylevel slicing with background')

subplot(313), imshow(uint8(k)), title('Graylevel slicing without background')

OUTPUT RESULT: