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多尺度无监督彩色图像分割
引用本文:陈志刚,陈爱华,崔跃利,项美晶.多尺度无监督彩色图像分割[J].光子学报,2011(10):1553-1559.
作者姓名:陈志刚  陈爱华  崔跃利  项美晶
作者单位:台州学院物电学院;
基金项目:浙江省自然科学基金(No.Y4110207)资助
摘    要:非采样Contourlet变换是一种新的多尺度多分辨率分析工具,本文提出了一种基于非采样Contourlet变换的彩色图像无监督分割算法.首先利用非采样Contourlet变换的平移不变性在其变换域应用梯度向量法提取图像多尺度边缘;然后在Contourlet变换域的低频子带和高频子带中分别提取局部低频能量纹理特征与高频...

关 键 词:图像分割  非采样Contourlet变换  多尺度边缘  纹理特征  区域生长

Multi-scale Unsupervised Color Image Segmentation
CHEN Zhi-gang,CHEN Ai-hua,CUI Yue-li,XIANG Mei-jing.Multi-scale Unsupervised Color Image Segmentation[J].Acta Photonica Sinica,2011(10):1553-1559.
Authors:CHEN Zhi-gang  CHEN Ai-hua  CUI Yue-li  XIANG Mei-jing
Institution:CHEN Zhi-gang,CHEN Ai-hua,CUI Yue-li,XIANG Mei-jing(College of Physics & Electronic Engineering,Taizhou University,Taizhou,Zhejiang 318000,China)
Abstract:Nonsubsampled contourlet transform is a new multi-scale multi-resolution powerful analysis tool.An unsupervised segmentation algorithm for color image is proposed based on nonsubsampled contourlet transform.Firstly,for nonsubsampled contourlet transform shift invariance,multi-scale edge is extracted in transform domain by using gradient vector method.Then,local low-frequency energy texture features and high-frequency multi-scale Zernike moments texture features are extracted from low-frequency sub-band and ...
Keywords:Image segmentation  Nonsubsampled contourlet transform  Multi-scale edge  Texture feature  Region growing  
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