| 一种基于相对熵的图象分割算法 |
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| 引用本文： | 王建军 苑玮琦. 一种基于相对熵的图象分割算法[J]. 信息与控制, 1997, 26(1): 67-72,80 |
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| 作者姓名： | 王建军 苑玮琦 |
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| 作者单位： | 东北大学自控系 |
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| 摘 要： | 提出了一种基于相对熵的图象分割算法，该算法的主要思想是通过相对熵来选择阈值，现场颗粒物料图象作为一个应用实例，在本文中得到验证，实验结果表明，提出的算法优于基于局部熵的图象分割算法。
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| 关 键 词： | 计算机视觉 图象处理 模式识别 图象分割 相对熵 |
A RELATIVE ENTROPY BASED ALGORITHM TO IMAGE SEGMENTATION |
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| WANG Jianjun YUAN Weiqi ZHANG Hongxun. A RELATIVE ENTROPY BASED ALGORITHM TO IMAGE SEGMENTATION[J]. Information and Control, 1997, 26(1): 67-72,80 |
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| Authors: | WANG Jianjun YUAN Weiqi ZHANG Hongxun |
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| Abstract: | In this paper, we present a relative entropy based algorithm to image segmentation. The main idea of this algorithm is to find a threshold by using relative entropy. Particle material image from plant scene is taken as example to show the practical application of the algorithm.Some experimental results are provided to show the proposed algorithm to be superior to the local entropy based algorithm of image segmentation. |
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| Keywords: | computer vision image processing pattern recognition Image segmentation co occurrence matrix relative entropy local entropy |
| 本文献已被 CNKI 维普 等数据库收录！ |
