Image Processing I: Edge Detection and Texture Analysis

This lecture covers the fundamentals of image processing, focusing on edge detection and texture analysis. It starts with the importance of edges in image interpretation, discussing gradient-based edge detection and texture analysis. The lecture then delves into continuous-domain formulation of edges, gradient and directional derivatives, general criteria for edge detection, and Canny's edge detection algorithm. Practical issues such as choice of filterbanks and texture classification are also explored. The lecture concludes with discussions on texture segmentation, filterbank analysis, and image segmentation techniques.