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Proceedings Paper

Parallel algorithm for model-directed real-time image segmentation
Author(s): Daniel T. Long; Ikram E. Abdou; Surachai Sutha
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Paper Abstract

Real-time image segmentation is a critical part of an automatic target recognizer (ATR). The segmentation of poorly resolved targets in low contrast thermal video images is a challenging task. Most edge-based segmenters are too susceptible to noise, contrast variation, and target boundary discontinuity. The problem is the lack of a fast (video rate) and robust method of grouping the relevant edge elements together while rejecting the irrelevant ones. We have overcome this problem by combining the processing power of a single instruction multiple data (SIMD) computer with a newly developed model-directed segmentation algorithm.

Paper Details

Date Published: 1 September 1990
PDF: 6 pages
Proc. SPIE 1295, Real-Time Image Processing II, (1 September 1990); doi: 10.1117/12.21216
Show Author Affiliations
Daniel T. Long, Martin Marietta Electronic Sys (United States)
Ikram E. Abdou, Martin Marietta Electronic Sys (United States)
Surachai Sutha, Martin Marietta Electronic Sys (United States)


Published in SPIE Proceedings Vol. 1295:
Real-Time Image Processing II
Richard D. Juday, Editor(s)

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