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基于模糊最大类间方差的图像分割算法
引用本文:曾伟,袁宝峰,朱桂斌.基于模糊最大类间方差的图像分割算法[J].实验科学与技术,2008,6(6):22-24.
作者姓名:曾伟  袁宝峰  朱桂斌
作者单位:1. 重庆通信学院,图像通信实验室,重庆,400035
2. 重庆通信学院,信号与信息处理实验室,重庆,400035
摘    要:阈值分割是一种被广泛使用的图像分割技术,其技术关键,确定合适的分割门限。为了体现图像中因模糊不确定性产生的信息量,本文在Ostu算法的基础上引入隶属度的概念,提出了模糊最大类间方差法。通过利用亚采样图像获取分割门限,提高了算法效率。实验仿真结果表明:该方法在分割质量上取得了很好的效果,时间复杂度也有所降低。

关 键 词:图像分割  阈值分割  亚采样图像

An Image Segmentation Algorithm Based on the Fuzzy Ostu Method
ZENG Wei,YUAN Bao-feng,ZHU Gui-bin.An Image Segmentation Algorithm Based on the Fuzzy Ostu Method[J].Experiment Science & Technology,2008,6(6):22-24.
Authors:ZENG Wei  YUAN Bao-feng  ZHU Gui-bin
Institution:ZENG Wei, YUAN Bao-feng, ZHU Gui-bin(a. Image-communication Lab; b. Signal and Information processing Lab, Chongqing Communication Institute, Chongqing 400035, China)
Abstract:The Threshold segmentation is a widely-used technique in image segmentation. It's key is to ascertain the segmentation threshold. This paper introduces a concept of subjection degree based on the original Ostu algorithm and puts forward fuzzyOstu method ; meanwhile, it ascertains the segmentation threshold by making use of sub-sampling image to improve algorithm efficiency. The resuit of the simulated experiment proves that the method can helps to obtain good effect in the segmentation quality and reduce the complexity of the running time.
Keywords:image segmcntation  threshold segmentation  sub-sampling image
本文献已被 CNKI 维普 万方数据 等数据库收录!
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