A New Image Texture Segmentation Based on Contourlet Fractal Features

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• 作者：Katayoon Sarafrazi (1)
  Mehran Yazdi (1)
  Mohammad Javad Abedini (2)
  
• 关键词：Texture segmentation ; Fractal theory ; Contourlet transform ; Statistical features ; Fuzzy features ; Power spectrum features
• 刊名：Arabian Journal for Science and Engineering
• 出版年：2013
• 出版时间：December 2013
• 年：2013
• 卷：38
• 期：12
• 页码：3437-3449
• 全文大小：
• 作者单位：Katayoon Sarafrazi (1)
  Mehran Yazdi (1)
  Mohammad Javad Abedini (2)
  
  1. Department of Communications and Electronics, Shiraz University, Shiraz, Iran
  2. Department Civil and Environmental Engineering, Shiraz University, Shiraz, Iran
  

文摘

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.