灰度阈值使用Havrda和Charvat熵

2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099) Pub Date : 2000-05-29 DOI:10.1109/MELCON.2000.880013

N. Pavesic, S. Ribaric

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引用次数: 27

摘要

通过对Kapur等人(1985)图像阈值分割方法的研究，我们发现，采用Havrda和Charvat熵的总和作为阈值选择的标准，而不是Shannon熵作为阈值选择的标准，可以获得更好的图像分割效果，即分割后的片段更加均匀，片段之间的对比度也更大。

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Gray level thresholding using the Havrda and Charvat entropy

Investigating the Kapur et al. (1985) image thresholding method, we found, that taking the sum of the Havrda and Charvat entropies as a criterion for threshold selection instead of the Shannon entropies, can result in a better image segmentation in the sense of greater uniformity of the partitioned segments, as well as greater contrast among segments.

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2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099)

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