摘要
提出了一种结合二维Otsu法和模糊熵的图像分割方法,先采用二维Otsu法对图像进行初步分割,再采用模糊熵作后续处理,以弥补忽略边界信息带来的问题。实验结果表明,对于含噪图像,该方法的后处理效果是比较理想的。
An image segmentation method combining 2D Otsu＇s method and fuzzy entropy were proposed. Firstly, pre-segmentation to image was made by 2D Otsu＇ s method, secondly, further processing using fuzzy entropy was done in order to offset neglecting the information of edges. Experimental results show the method can obtain better post-process effect for images with noise.
出处
《计算机应用研究》
CSCD
北大核心
2007年第6期189-191,共3页
Application Research of Computers
基金
国家自然科学基金资助项目(60572133)
关键词
OTSU法
模糊熵
图像分割
Otsu＇ s method
fuzzy entropy
image segmentation
