DESCRIPTION
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 CVML Web Module focuses on 2D Computer Vision and Image Analysis and their applications in the above-mentioned diverse domains and new challenges ahead.
An in-depth presentation of 2D Computer Vision and Image Analysis clarifies notions and topics in their theory and applications. Edge detection allows reliable object contour extraction. Region segmentation and texture description detail segmentation of an image into homogeneous regions. Either edge or region object descriptions will be employed in 2D object shape description and analysis. Mathematical morphology offers a very powerful and simple approach to shape description and recognition (e.g., skeletons). Finally, computational geometry methods, e.g., distance transforms, Voronoi tessallations and Delaunay triangulation, are valuable tools in image analysis and beyond.
Edge detection.
LECTURE LIST
- Computational Geometry
- Edge Detection
- Image Features
- Image Registration
- Introduction to 2D Computer Vision
- Mathematical Morphology
- Region Segmentation
- Shape Description
- Attention and Transformer Networks in Computer Vision
MATERIAL