21 March 2000 Image segmentation benchmark for evaluation of vision systems
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Abstract
This paper proposes a benchmark for vision systems performance prediction, estimation and evaluation. The benchmark is based upon image cooperative edge-region segmentation task. It is composed by three algorithms: multi-thresholded image connected component labelling, image region segmentation and data reorganization. Formalized algorithms are given and their few implementation details on SIMD and MIMD computers are discussed. Benchmark result analysis and architectural implications for an efficient support of vision application are proposed as well.
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Edwige E. Pissaloux, "Image segmentation benchmark for evaluation of vision systems", Proc. SPIE 3966, Machine Vision Applications in Industrial Inspection VIII, (21 March 2000); doi: 10.1117/12.380058; https://doi.org/10.1117/12.380058
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