Fast parallel algorithms: from images to level sets and labels

H. T. Nguyen; Ken K. Jung; Raghu Raghavan

doi:10.1117/12.19577

1 July 1990 Fast parallel algorithms: from images to level sets and labels

H. T. Nguyen, Ken K. Jung, Raghu Raghavan

Proceedings Volume 1246, Parallel Architectures for Image Processing; (1990) https://doi.org/10.1117/12.19577
Event: Electronic Imaging: Advanced Devices and Systems, 1990, Santa Clara, CA, United States

Abstract

Decomposition into level sets refers to assigning a code with respect to intensity or elevation while labeling refers to assigning a code with respect to disconnected regions. We present a sequence of parallel algorithms for these two processes. The process of labeling includes re-assign labels into a natural sequence and compare different labeling algorithm. We discuss the difference between edge-based and region-based labeling. The speed improvements in this labeling scheme come from the collective efficiency of different techniques. We have implemented these algorithms on an in-house built Geometric Single Instruction Multiple Data (GSIMD) parallel machine with global buses and a Multiple Instruction Multiple Data (MIMD) controller. This allows real time image interpretation on live data at a rate that is much higher than video rate. The performance figures will be shown.

Citation Download Citation

H. T. Nguyen, Ken K. Jung, and Raghu Raghavan "Fast parallel algorithms: from images to level sets and labels", Proc. SPIE 1246, Parallel Architectures for Image Processing, (1 July 1990); https://doi.org/10.1117/12.19577

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