Course Materials – INF250: Image Processing and Analysis

This repository contains lecture materials, assignments, and lab work for the INF250: Image Processing and Analysis course, including lecture slides, lab codes with solutions, and assignment solutions.

Repository Structure

• Lectures → Lecture
• Lab Codes solutions → LAB_codes
• Assignments solutions → Assignments

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Lecture Topics

1. Introduction to Digital Images: EM radiation, brightness adaptation, sampling, quantization, resolution, and ImageJ/Fiji software
2. Histograms and Image Statistics
3. Point Operations and Filtering
4. Edge and Contour Detection
5. Morphological Operations
6. Region and Object Detection
7. Color Image Processing
8. Texture Analysis
9. Imaging in Field Phenotyping
10. Multivariate Analysis: PCA, clustering
11. Multispectral and Hyperspectral Imaging: cameras, research applications, PCA, k-means, supervised classification

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