Digital Image Processing- Lab Manual, Lab Reports of Digital Image Processing

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PROVIDENCE COLLEGE FOR WOMEN

(Affiliated to Bharathiar University)

Spring Field,Coonoor-

DEPARTMENT OF COMPUTER SCIENCE

DIGITAL IMAGE PROCESSING USING

MATLAB

PRACTICAL RECORD

PROVIDENCE COLLEGE FOR WOMEN

Spring Field, Coonoor.

Certified to be bonafide record of work done by

____________________________ Reg.No. ________________ on

DIGITAL IMAGE PROCESSING USING MATLAB in partial

fulfillment of the requirement for the degree of MASTER OF

COMPUTER SCIENCE during the year 2017-2018.

STAFF INCHARGE HEAD OF THE DEPARTMENT

INTERNAL EXAMINER EXTERNAL EXAMINER

EX.NO:01 IMAGE ENHANCEMENT

DATE:

AIM:

To implement an image enhancement program using matlab.

ALGORITHM:

STEP1: Start -> My computer->Program files-> MATLAB->bin-> MATLAB.

STEP2: Open MATLAB and select new script. STEP3: Write the source code. STEP4: Copy the path of the image and paste it in the required line. STEP5: Save and run the program. STEP6: The image will be enhanced and displayed in different window. STEP7: Stop the process

CODING:

I=imread('C:\Documents and Settings\Administrator.PCW11\Desktop\Winter.jpg'); j=imresize(I,0.3); figure imshow(I); title('original image') figure imshow(j); title('resized image')

EX.NO:

DATE: HISTOGRAM EQUALIZATION

AIM:

To implement histogram equalization program using matlab.

ALGORITHM:

STEP1: Start -> My computer->Program files-> MATLAB->bin-

MATLAB. STEP2: Open MATLAB and select new script.

STEP3: Write the source code. STEP4: Copy the path of the image and paste it in the required line. STEP5: Save and run the program. STEP6: The image will produce the intensity range and displayed in different Window. STEP7: Stop the process.

CODING:

A=imread('C:\Documents and Settings\Administrator.PCW11\Desktop\Winter.jpg'); A_gray=rgb2gray(A); imhist(A_gray); imhist(A_gray,128); imhist(A_gray,32); R=A(:,1,1); G=A(:,1,2); B=A(:,1,3); subplot(1,3,1),imhist(R),title(R); subplot(1,3,2),imhist(G),title(G); subplot(1,3,3),imhist(B),title(B);

EX.NO:

DATE: IMAGE RESTORATION

AIM:

To implement an image restoration program using matlab. ALGORITHM: STEP1: Start -> My computer->Program files-> MATLAB->bin-> MATLAB. STEP2: Open MATLAB and select new script. STEP3: Write the source code. STEP4: Copy the path of the image and paste it in the required line. STEP5: Save and run the program. STEP6: The image will be restored and displayed in different window. STEP7: Stop the process

CODING:

I=im2double(imread('C:\Documents and Settings\All Users\Documents\My Pictures\Sample Pictures\images.jpg')); LEN=60; THETA=0; noise_var=0.001; est_nsr=noise_var/var(I(:)); PSF=fspecial('motion',LEN,THETA); wnr=deconvwnr(I,PSF,est_nsr); imshow(wnr);

EX.NO:

DATE: IMAGE FILTERING

AIM:

To implement an image filtering program using matlab. ALGORITHM: STEP1: Start -> My computer->Program files-> MATLAB->bin-> MATLAB. STEP2: Open MATLAB and select new script. STEP3: Write the source code. STEP4: Copy the path of the image and paste it in the required line. STEP5: Save and run the program. STEP6: The original image will be filtered and displayed in different window. STEP7: Stop the process.

CODING:

I=imread('C:\Documents and Settings\Administrator.PCW11\Desktop\Winter.jpg'); h=ones(5,5)/25; I2=imfilter(I,h); imshow(I); title('original image'); figure imshow(I2); title('filtered image')

EX.NO:

DATE: EDGE DETECTION USING OPERATORS

AIM:

To implement edge detection using operators- program using matlab.

ALGORITHM:

STEP1: Start -> My computer->Program files-> MATLAB->bin-> MATLAB. STEP2: Open MATLAB and select new script. STEP3: Write the source code. STEP4: Copy the path of the image and paste it in the required line. STEP5: Save and run the program. STEP6: The image will be detected and displayed in three different formats. STEP7: Stop the process.

CODING:

i=imread('C:\Documents and Settings\Administrator.PCW11\Desktop\Winter.jpg'); I=rgb2gray(i); Bw1=edge(I,'prewitt'); Bw2=edge(I,'sobel'); Bw3=edge(I,'roberts'); subplot(2,2,1); imshow(I); title('original image'); subplot(2,2,2); imshow(Bw1); title('prewitt'); subplot(2,2,3); imshow(Bw2); title('sobel'); subplot(2,2,4); imshow(Bw3); title('roberts');

EX.NO:

DATE: IMAGE COMPRESSION

AIM:

To implement an image compression program using matlab.

ALGORITHM:

STEP1: Start -> My computer->Program files-> MATLAB->bin-> MATLAB.

STEP2: Open MATLAB and select new script. STEP3: Write the source code. STEP4: Copy the path of the image and paste it in the required line. STEP5: Save and run the program. STEP6: The image will be compressed and displayed in different window. STEP7: Stop the process.

CODING:

clear all; close all; input_image1=imread('C:\pictures\CARU9KLZ.jpg'); input_image=imnoise(input_image1,'speckle',.01); figure; imshow(input_image); n=input('enter the decomposition level='); [Lo_D,Hi_D,Lo_R,Hi_R] = wfilters('haar'); [c,s] = wavedec2(input_image,n,Lo_D,Hi_D); disp('the decomposition vector output is'); disp(c); [thr,nkeep] = wdcbm2(c,s,1.5,3*prod(s(1,:))); [Compressed_image,TREE,Comp_ratio,PERFL2] = wpdencmp(thr,'s',n,'haar','threshold',5,1); disp('Compression ratio in %'); disp(Comp_ratio); re_ima1 = waverec2(c,s,'haar'); re_ima = uint8(re_ima1); subplot(1,3,1); imshow(input_image); title('I/P image'); subplot(1,3,2); imshow(Compressed_image); title('Compressed_image'); subplot(1,3,3); imshow(re_ima); title('reconstructed image');