Double recursive algorithm based on fuzzy entropy for image thresholding

Xiuhua Zhang; Hanyu Hong

doi:10.1117/12.832429

30 October 2009 Double recursive algorithm based on fuzzy entropy for image thresholding

Xiuhua Zhang, Hanyu Hong

Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 749717 (2009) https://doi.org/10.1117/12.832429
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

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.

Citation Download Citation

Xiuhua Zhang and Hanyu Hong "Double recursive algorithm based on fuzzy entropy for image thresholding", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 749717 (30 October 2009); https://doi.org/10.1117/12.832429

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