A New Image Texture Segmentation Based on Contourlet Fractal Features

被引：0
|
作者：
Katayoon Sarafrazi
Mehran Yazdi
Mohammad Javad Abedini
机构：
[1] Shiraz University,Department of Communications and Electronics
[2] Shiraz University,Department Civil and Environmental Engineering
来源：
Arabian Journal for Science and Engineering | 2013年 / 38卷
关键词：
Texture segmentation; Fractal theory; Contourlet transform; Statistical features; Fuzzy features; Power spectrum features;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Texture segmentation is one of the most difficult and important tasks in the remote sensing image processing. Through the years, several methods, based on statistical features, structural features and other image features, have been proposed for texture segmentation. This paper proposes a new feature based on Contourlet transform and Fractal analysis for texture segmentation. The performance of the proposed feature is compared with that of fractal, statistical, fuzzy and power spectrum features in presence of noise and the obtained results show superiority of the new proposed feature.
引用
收藏
页码：3437 / 3449
页数：12
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