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Proceedings Paper

Double recursive algorithm based on fuzzy entropy for image thresholding
Author(s): Xiuhua Zhang; Hanyu Hong
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Paper Abstract

A double recursive algorithm based on fuzzy entropy for image thresholding is proposed. The inner recursive step is to calculate the threshold between the given gray level interval, and the outer recursive step is to calculate the optimal for the image with small objects. Experiments on steel billet image show that the proposed algorithm can threshold image fast and exactly, which has effectiveness and application for real time image segmentation.

Paper Details

Date Published: 30 October 2009
PDF: 6 pages
Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 749717 (30 October 2009); doi: 10.1117/12.832429
Show Author Affiliations
Xiuhua Zhang, Wuhan Institute of Technology (China)
Hanyu Hong, Wuhan Institute of Technology (China)
Deakin Univ. (Australia)


Published in SPIE Proceedings Vol. 7497:
MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Faxiong Zhang; Faxiong Zhang, Editor(s)

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