1 January 2001 Toward an image segmentation benchmark for evaluation of vision systems
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This paper is a contribution to a benchmark concept definition and it proposes a set of image segmentation algorithms which should be included in any benchmark for vision system. The proposed alagorithms allow us to predict, estimate, and quantify many image/vision system parameters such as data acquisition rate, local and global system communications, machine capability to support recursive processings, data reorganization, different programming/ implementation models, system scalability, etc. The proposed three algorithms calculate: multithreshold image connect component labeling, image region identification (through two complementary steps: isotropic seed region growing and pixel fusion), and data reorganization. Formalized algorithms, which can be implemented on different plate-forms (sequential, parallel, distributed) supporting different programming and implementation paradigms (models) are given. Machine performance analysis and quantification via matching coefficients are proposed as well.
© (2001) Society of Photo-Optical Instrumentation Engineers (SPIE)
Edwige E. Pissaloux, Edwige E. Pissaloux, "Toward an image segmentation benchmark for evaluation of vision systems," Journal of Electronic Imaging 10(1), (1 January 2001). https://doi.org/10.1117/1.1316090 . Submission:

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