A novel multifractal estimation method and its application to remote image segmentation

被引：32

作者：

Du, G ^{[1
]}

Yeo, TS ^{[1
]}

机构：

[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore 119260, Singapore

来源：

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING | 2002年 / 40卷 / 04期

关键词：

image segmentation; multispectral estimation; synthetic aperture radar;

D O I：

10.1109/TGRS.2002.1006395

中图分类号：

P3 [地球物理学]; P59 [地球化学];

学科分类号：

0708 ; 070902 ;

摘要：

Based on the gliding-box and relative differential box-counting algorithms, a novel method that estimates accurately the multifractal exponents, a distinct characteristics of gray-scale digital images, is proposed. Four natural texture images are used to test the performance of the novel multifractal measure. Comparisons with published methods show that the proposed method can efficiently describe texture images and can provide accurate classification results.

引用

页码：980 / 982

页数：3

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