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基于小波包与Otsu的含噪遥感图像分割算法
引用本文:刘文静,贾振红,郜青梅.基于小波包与Otsu的含噪遥感图像分割算法[J].计算机工程,2011,37(15):203-204,217.
作者姓名:刘文静  贾振红  郜青梅
作者单位:1. 新疆大学信息科学与工程学院,乌鲁木齐,830046
2. 国家广电总局九五一合,石家庄,050407
基金项目:科技部国际科技合作基金
摘    要:最大类间方差(Otsu)在用于含噪图像的分割时,不能取得理想的分割效果。针对该问题,在Otsu分割方法的基础上,结合小波包分析,提出一种新的含噪遥感图像分割算法。该算法用小波包对含噪遥感图像进行分解,采用自适应阈值的方法去除图像中的噪声,应用Otsu方法对图像进行分割。仿真实验表明,该算法具有较好的抗噪性能及分割效果。

关 键 词:遥感图像  阈值分割  小波包变化  自适应阈值  最大类间方差分割
收稿时间:2011-01-24

Noisy Remote Sense Image Segmentation Algorithm Based on Wavelet Packet and Otsu
LIU Wen-jing,JIA Zhen-hong,GAO Qing-mei.Noisy Remote Sense Image Segmentation Algorithm Based on Wavelet Packet and Otsu[J].Computer Engineering,2011,37(15):203-204,217.
Authors:LIU Wen-jing  JIA Zhen-hong  GAO Qing-mei
Affiliation:1.School of Information Science and Engineering,Xinjiang University,Urumqi 830046,China;2.The State Administration of Radio Film and Television 951,Shijiazhuang 050407,China)
Abstract:When the variance between the largest category(Otsu) is used in noise image, Otsu method can not provide satisfactory results. Under this situation, this paper proposes a new noisy remote sense image segmentation method. The method applies wavelet package transform to decompose the remote image. The noises in the remote image are eliminated by the adaptive threshold method. Otsu method is adopted to segment image. Simulation experiments show that the algorithm has better immunity to noise and achieves good performance in segmentation quality.
Keywords:remote sense image  threshold segmentation  wavelet packet transformation  adaptive threshold  Otsu segmentation
本文献已被 CNKI 维普 万方数据 等数据库收录!
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