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Abstract
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.
Keywords
Image segmentation, Multispectral estimation, Synthetic aperture radar
Source Title
IEEE Transactions on Geoscience and Remote Sensing
Publisher
Series/Report No.
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Date
2002-04
DOI
10.1109/TGRS.2002.1006395
Type
Article