IMAGE THRESHOLDING BY MINIMIZING THE MEASURES OF FUZZINESS
IMAGE THRESHOLDING BY MINIMIZING THE MEASURES OF FUZZINESS
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DOI：
10.1016/0031-3203(94)e0043-k
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发表时间：
1995-01-01
影响因子：
8
通讯作者：
WANG, MJJ
中科院分区：
文献类型：
--
作者：
HUANG, LK;WANG, MJJ
本文提出了一种新的基于最小化输入图像模糊测度的图像阈值化方法。阈值法中的隶属函数用来表示像素与其所属区域（目标或背景）之间的特征关系。此外，基于模糊测度，定义了一个模糊范围，在此范围内寻找合适的阈值。该方法原理简单易懂，可直接推广到多级阈值分割。利用具有不同类型直方图的测试图像说明了新方法的有效性。实验结果表明，该方法在二值和三值阈值分割中表现出良好的性能。
This paper introduces a new image thresholding method based on minimizing the measures of fuzziness of an input image. The membership function in the thresholding method is used to denote the characteristic relationship between a pixel and its belonging region (the object or the background). In addition, based on the measure of fuzziness, a fuzzy range is defined to find the adequate threshold value within this range. The principle of the method is easy to understand and it can be directly extended to multilevel thresholding. The effectiveness of the new method is illustrated by using the test images of having various types of histograms. The experimental results indicate that the proposed method has demonstrated good performance in bilevel and trilevel thresholding.