🧠 Image_Processing_Banana_Problem

A Python-based image processing project implementing morphological operations, image segmentation, feature detection, and PCA-based dimensionality reduction using OpenCV and scikit-image.

📁 Assignments

• Assignment 1A: Fabric Defect Detection using Morphological Operations
• Assignment 1B: Chest X-ray Abnormality Detection using Edge Detection & Segmentation
• Assignment 2: Feature Detection & PCA for Texture Analysis

🧰 Tools Used

• Python, OpenCV, scikit-image, scikit-learn, matplotlib, NumPy
• Google Colab for notebook execution

🚀 How to Run

1. Open the .ipynb notebook in Google Colab
2. Upload your input images (fabric, chest X-ray, and leaf)
3. Run all cells to generate the outputs in assignment_outputs/

📸 Outputs

• 1A_*.png: Morphological operations results
• 1B_*.png: Canny, K-means, and SLIC segmentation
• 2_*.png: MSER, Harris, SIFT, and PCA outputs

🧩 Author

Developed by Utkarsh Vats for academic analysis and automation in image-based pattern detection.