Digital Image Processing Lab
Equipped with MATLAB and OpenCV, this lab enables students to implement algorithms for image enhancement, segmentation, filtering, and object recognition — essential for AI, robotics, and medical imaging.

Key Features & Equipment:
- Software: MATLAB with Image Processing Toolbox, OpenCV (Python/C++)
- Libraries: NumPy, SciPy, scikit-image, Pillow
- Hardware: Webcams, DSLRs for live capture, GPU acceleration
- Projects: Face detection, OCR, medical image segmentation, filters
Applications & Courses Supported:
- Image Filtering & Enhancement
- Edge Detection & Morphological Ops
- Object Recognition & Feature Extraction
- Medical & Satellite Image Analysis