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This lecture introduces image segmentation algorithms, focusing on image binarization, histogram-based thresholding, between-class variance, and region-based merging.
Syllabus
Introduction
Agenda
Basics
Why Segmentation
Algorithms
Categories of Algorithms
Image Segmentation Basics
Image Binarization
Histogram
Examples
Threshold
Between Class Variance
Results
Visualization
RegionBased Segmentation
Merging
Algorithm
Thresholding
Variance
Taught by
UCF CRCV