Instruction:
1. Prepare DIP lab file as
per below instructions, student(s) without lab file are no allowed for
practical viva.
2. Every program must
contain 4 sections: Objective, Theory, Code, Output.
3. Include these three lines
of code at starting of every program/code:
>>Clear all
>>Close all
>>Clc
4. Add your details in
program output by using title function
EX: figure,
imshow(variable_name), title('Program_title - Student_name - Rollno');
5. Convert every image
(rgb) to grayscale using rg2gray function before any operation.
6. Refer Digital Image
Processing using MATLAB by Gonzalez & Woods.
List
of program:
1.
Write
a program (in MATLAB) to read an image file and display its properties.
2.
Write
a program (in MATLAB) to show multiple image or output in single figure window
using subplot function with title.
3.
Write
a program (in MATLAB) to read an image and subtract 100 gray-level intensity
form it and save enhanced image data using imwrite funciton to current folder
of matlab.
4.
Write
a program (in MATLAB) to enlarge an image to its
double size and shrink an image to its half size.
5.
Write
a program (in MATLAB) to rotate an image in
clockwise and anticlockwise direction.
6. Write a program (in MATLAB) to convert and rgb image to gray scale image.
7.
Write
a program (in MATLAB) to
implement the Basic Gray Level Transformation.
·
Image
Negative
·
Log
Transformation
·
Power
Law Transformation
·
Piecewise
Linear Transformation ( Contrast Stretching )
8.
Write
a program (in MATLAB) to generate Histogram for an Image and plot histogram
in various ways (imhist, bar, stem, plot).
9.
Write
a program (in MATLAB) to
perform Histogram Equalization.
10.
Write
a program (in MATLAB) to implement Arithmetic
and Logical operation:
·
Arithmetic
operation: Image Addition, Subtraction, Multiplication and Division (use imadd,
imsubtract, immultiply, imdivide functions)
·
Logical
operation: AND, XOR, OR and NOT (use bitand, bitor, bitxor, bitcmp functions)
11.
Write
a program (in MATLAB) to implement Smoothing
Spatial Filters:
·
Linear
filter (Standard Average/BOX, Weighted Average)
·
Ordered
Statistic (Median)
12.
Write
a program (in MATLAB) to implement Sharpening
Spatial Filters:
·
Laplacian filter
13.
Write
a program (in MATLAB) to implement Homomorphic filter.
14.
Write
a program (in MATLAB) to implement different Noise model:
·
Uniform
noise
·
Gaussian
noise
·
Salt
& Pepper noise
·
Rayleigh
noise
·
Exponential
noise
·
Rrlang
noise
15.
Write
a program (in MATLAB) to implement Restoration in the presence of noise only
- Spatial Filtering:
·
Arithmetic
mean filter
·
Geometric
mean filter
·
Harmonic
mean filter
·
Median
filter
·
Max
filter
·
Min
filter
