1 September 1990 Parallel algorithm for model-directed real-time image segmentation
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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.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Daniel T. Long, Ikram E. Abdou, Surachai Sutha, "Parallel algorithm for model-directed real-time image segmentation", Proc. SPIE 1295, Real-Time Image Processing II, (1 September 1990); doi: 10.1117/12.21216; https://doi.org/10.1117/12.21216

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