基于Kaniadakis熵的双层图像阈值分割
计算机视觉与模式识别
2015-02-24 v3
摘要
在本文中，我们提出在最大熵原理框架下，将Kaniadakis熵用于图像的双层阈值分割。我们讨论了其熵指数在确定阈值以及驱动“图像转变”（即相应双层图像外观的突变）中的作用。给出了一些示例以说明该方法，并与使用Tsallis熵的方法进行比较。
引用
@article{arxiv.1502.04500,
title = {Bi-Level Image Thresholding obtained by means of Kaniadakis Entropy},
author = {Amelia Carolina Sparavigna},
journal= {arXiv preprint arXiv:1502.04500},
year = {2015}
}
备注
Kaniadakis Entropy, Image Processing, Image Segmentation, Image Thresholding, Texture Transitions, added reference and revised typos This paper has been withdrawn by the author due to a crucial sign error in Figures 3 and 4