Shape Description Lecture
2D Computer Vision and Image Analysis revolutionize very many domains, notably:
-Medical/Biological/Dental Image Analysis and Diagnosis,
-Autonomous systems perception
-Digital Media (video/image) and Social Media Analytics,
-Big Visual Data Analytics,
-Scientific Image Analysis of any sort, e.g., Remote Sensing, Environment Sensing.
This lecture overviews Shape Description that has many applications in object recognition and image compression. It covers the following topics in detail: Chain Codes. Polygonal Contour Approximations. Fourier Descriptors. Quadtrees. Pyramids for multiresolution image representation. Shape Features (Object perimeter, Contour curvature, Bending energy, area, compactness, diameter). Topological descriptors and Euler number. Moment Descriptors. Thinning Algorithms.