Scilab_Programs_Digital_Image_Processing

Scilab Programs for Basics of Digital Image Processing

Students are informed to write program in scilab,

Mini Projects: Basic Image Processing in Scilab

Basic Image Operations

1. Image Reader and Saver: Basic Input and Output Operations in Scilab
2. Image Cropper: Select and Save a Portion of the Image
3. Resizing Images: Scaling Down and Enlarging Digital Images in Scilab

Noise Addition and Removal

4. Adding Noise to Images: Simulating Salt & Pepper and Gaussian Noise
5. Noise Reduction Using Mean and Median Filters in Scilab
6. Designing a Low-Pass Filter for Image Smoothing
7. High-Pass Filtering: Enhancing Edges in Images
8. Adaptive Filtering: Noise Removal in Noisy Images

Color Image Processing

9. Color to Grayscale Conversion: Simplifying RGB Images
10. Splitting RGB Channels and Merging Them Back
11. Histogram Equalization: Enhancing Color Images
12. Color Image Thresholding: For Object Detection
13. Applying Color Filters: Creating Artistic Image Effects

Edge Detection and Image Enhancement

14. Detecting Edges: Using Sobel and Prewitt Filters
15. Image Sharpening: Using Laplacian Filters
16. Contrast Adjustment: Improving Visual Quality of Images

Image Analysis

17. Calculating Image Histogram: Understanding Intensity Distribution