Please use this identifier to cite or link to this item: https://doi.org/10.1109/TGRS.2002.1006395
Title: A novel multifractal estimation method and its application to remote image segmentation
Authors: Du, G. 
Yeo, T.S. 
Keywords: Image segmentation
Multispectral estimation
Synthetic aperture radar
Issue Date: Apr-2002
Citation: Du, G., Yeo, T.S. (2002-04). A novel multifractal estimation method and its application to remote image segmentation. IEEE Transactions on Geoscience and Remote Sensing 40 (4) : 980-982. ScholarBank@NUS Repository. https://doi.org/10.1109/TGRS.2002.1006395
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.
Source Title: IEEE Transactions on Geoscience and Remote Sensing
URI: http://scholarbank.nus.edu.sg/handle/10635/54633
ISSN: 01962892
DOI: 10.1109/TGRS.2002.1006395
Appears in Collections:Staff Publications

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