Image segmentation using variable threshold functions

Hassan Hassan

doi:10.1117/12.541603

12 April 2004 Image segmentation using variable threshold functions

Hassan Hassan

Proceedings Volume 5437, Optical Pattern Recognition XV; (2004) https://doi.org/10.1117/12.541603
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

This paper presents digital image segmentation techniques and algorithms using variable threshold functions. The technique is successful to detect regions with different or poor light radiances and can be applied to images with occluded or noisy objects. The Variable threshold functions are derived from discrete time functions often used in digital control system design. The developed algorithms can be integrated on a single monolithic integrated circuit or implemented as an embedded system for real-time applications.

Citation Download Citation

Hassan Hassan "Image segmentation using variable threshold functions", Proc. SPIE 5437, Optical Pattern Recognition XV, (12 April 2004); https://doi.org/10.1117/12.541603

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