Tuesday, 12 July 2016
Friday, 8 July 2016
MCA CBCS Regulation and Syllabus 2016-2017 onwards (Madurai Kamaraj University)
MADURAI
KAMARAJ UNIVERSITY
MADURAI
– 21
MCA
(Semester)
Choice
Based Credit System
REGULATIONS AND SYLLABUS
2016-2017 onwards
REGULATIONS AND SYLLABUS
2016-2017 onwards
M.Sc. IT CBCS Regulation and Syllabus 2016-2017 onwards (Madurai Kamaraj University)
MADURAI
KAMARAJ UNIVERSITY
MADURAI
– 21
M.Sc. Information Technology
(Semester)
Choice
Based Credit System
REGULATIONS AND SYLLABUS
2016-2017 onwards
REGULATIONS AND SYLLABUS
2016-2017 onwards
M.Sc. Computer Science CBCS Regulation and Syllabus 2016-2017 onwards (Madurai Kamaraj University)
MADURAI
KAMARAJ UNIVERSITY
MADURAI
– 21
M.Sc Computer Science
(Semester)
Choice
Based Credit System
REGULATIONS AND SYLLABUS
2016-2017 onwards
REGULATIONS AND SYLLABUS
2016-2017 onwards
BCA CBCS Regulation and Syllabus 2016-2017 onwards (Madurai Kamaraj University)
MADURAI
KAMARAJ UNIVERSITY
MADURAI
– 21
BCA
(Semester)
Choice
Based Credit System
REGULATIONS AND SYLLABUS
2016-2017 onwards
REGULATIONS AND SYLLABUS
2016-2017 onwards
B.Sc. IT CBCS Regulation and Syllabus 2016-2017 onwards (Madurai Kamaraj University)
MADURAI
KAMARAJ UNIVERSITY
MADURAI
– 21
B.Sc Information Technology
(Semester)
Choice
Based Credit System
REGULATIONS AND SYLLABUS
2016-2017 onwards
REGULATIONS AND SYLLABUS
2016-2017 onwards
B.Sc. Computer Science CBCS Regulation and Syllabus 2016-2017 onwards (Madurai Kamaraj University)
MADURAI KAMARAJ UNIVERSITY
MADURAI – 21
B.Sc Computer Science
(Semester)
Choice Based Credit SystemREGULATIONS AND SYLLABUS2016-2017 onwards
Thursday, 7 July 2016
Write a Matlab program for Edge Detection- use of Sobel, Prewitt and Roberts Operators
Code:
clear;
clc;
a = imread('d:/matimage/baby.jpg'); % Read image from
graphics file
a=rgb2gray(a); %
Convert RGB color image or color map to grayscale
b=edge(a,'roberts'); % Find edges in
grayscale image using Robert operator
c=edge(a,'sobel'); % Find edges in
grayscale image using sobel operator
d=edge(a,'prewitt'); % Find edges in
grayscale image using prewitt operator
subplot(2,2,1),imshow(a),title('Original Image');
subplot(2,2,2),imshow(b),title('Roberts');
subplot(2,2,3),imshow(c),title('Sobel');
subplot(2,2,4),imshow(d),title('Prewitt');
Output:
Write a MATLAB program for to extract Red, Green, and Blue Component
Code:
clear;
clc;
rgb
= imread('d:/matimage/baby.jpg'); % Read image from graphics file
r=rgb;
g=rgb;
b=rgb;
r( :
, : , 2 )=0;
r( :
, : , 2 )=0;
b( :
, : , 1 )=0;
b( :
, : , 3 )=0;
g( :
, : , 1 )=0;
g( :
, : , 2 )=0;
subplot(2,2,1),imshow(rgb),title('original image');
subplot(2,2,2),imshow(r),title('red component');
subplot(2,2,3),imshow(g),title('green component');
subplot(2,2,4),imshow(b),title('blue component');
Output:
Write a MATLAB program for Image Negation
Code:
clear;
clc;
a = imread('d:/matimage/baby.jpg'); % Read image from
graphics file
b = 255-a; %
conversion from black to white and vice-versa (black =0 and white = 255)
subplot(2,1,1), %Create
axes in tiled positions
imshow(a), %
displays the original image.
title('original image'); % Add title to
current axes
subplot(2,1,2), %Create
axes in tiled positions.
imshow(b), %
displays the negative of original image.
title('negative of original
image'); % Add title to current axes
Output:











