Basics of image processing and analysis

Syllabus – Imaging, computer vision and UAVs in the Agritech Domain Lesson 1: Basics of Image Processing and Analysis Date: 18 April Time: 14:00 -20:00 Topics: • Geometric Transformations: Resizing, rotation, translation, and their applications in image pre-processing. • Filtering: Basics of convolution, edge detection, smoothing, and sharpening filters. • Image Enhancement: Task definition; Histogram equalization, contrast adjustment, and noise reduction techniques. • Image Registration: Task definition; Aligning images from different sources or points of view using keypoint detection and matching. • Image Segmentation: Task definition; Introduction to thresholding, region growing, and clustering for image segmentation. Methodology: • Lecture: Introduction to each concept with examples. • Hands-on Tutorials: Use open-source software (e.g., OpenCV, Scikit-Image) for practical exercises.