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

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2 Author(s)
Du, G. ; Electr. & Comput. Eng. Dept., Nat. Univ. of Singapore, Singapore ; Yeo, T.S.

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

Published in:

Geoscience and Remote Sensing, IEEE Transactions on  (Volume:40 ,  Issue: 4 )

Date of Publication:

Apr 2002

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