IT379 COMPUTER VISION
Subject Cordinator: - Prof. Sanket Suthar
Subject Name: - COMPUTER VISION
Semester: - 6
| PRACTICAL LIST | |
|---|---|
| 1 |
Introduction to MATLAB Programing Activities: Lesson-1 : A MATLAB Session Lesson 2: Creating and Working with Arrays of Numbers Lesson 3 : Creating and Printing Simple Plots (Refer Page 93-97) |
| Spatial domain image enhancement | |
| 1 |
Inspect the effect of image Negation |
| 2 | Write a program for implementing Log Transformations
|
| 3 | Analyze the effect of different value of Gamma in power low transformation. |
| 4 | Perform contrast stretching. Analyze the results for different values of (r1,s1) and (r2,s2) |
| 5 | Perform two approaches of gray level slicing on your own image. Analyze the Results |
| 6 | Plot histogram of your image, e10, e11, e12, e13. Analyze the plot |
| 7 | Perform histogram equalization on e10, e11, e12. |
| 8 | Make window of your eye size. Perform AND, OR, Sum, Subtraction of your image and window. |
| 9 | Add noise to your own image |
| 10 | Implement different spatial domain sharpening filters. Compare the results. |
| 11 | Write a program to implement spatial domain smoothening filter with dynamic mask (average filter) |
| Frequency domain image enhancement | |
| 1 |
Plot Fourier spectrum of image |
| 2 | Implement and analyze different frequency domain smoothing algorithms.
|
| 3 | Implement and analyze different frequency domain sharpening algorithms. |
| Image Restoration | |
| 1 |
Plot the histogram of images. Identify the noise present in it. (e19 to e25) Apply different filters to restore the image. |
| Color image processing | |
| 1 |
Exchange the t-shirt and cap color of M. S. Dhoni and Ricky Ponting. |
| Image compression | |
| 1 |
Compute DCT of image |
| 2 | JPEG implementation |
| Image segmentation | |
| 1 |
Perform edge detection using different filters and compare their results |
| 2 |
Implement different region filling algorithms and compare their results |
| Morphological image processing | |
| 1 |
Perform erosion of e27 and then perform dilation on result. Analyze the result. |
| 2 |
Perform region filling on e28 analyze the result. |
| 3 |
Extract the boundary in the image |
| Representation and description | |
| 1 |
Plot the signatures of circle, square, triangle and rectangle. |
| Applications | |
| 1 |
Count number of circles, squares, triangles and rectangles from image |
| 2 |
Rupee coin recognition |
| 3 |
Rupee coin recognition |
| 4 |
Face detection |