Mathematical Morphology 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.
Short Summary
This lecture overviews Mathematical Morphology that has many applications in digital image processing, analysis and computer vision. It covers the following topics in detail: Mathematical Morphology operations (Minkowski addition/subtraction, erosion, dilation, opening, closing), Greyscale Morphology, Skeletons, Shape Decomposition, Voronoi tessellation, Watershed transform.
Pace
Self-paced
Language
English
Country
Greece
Credits
No
Subject Categories
Computer vision
Business Categories
Public Services
Last updated
Fri, 03/31/2023 - 14:29