An adaptive approach to unsupervised texture segmentation using \(M\)-band wavelet transform

DOI10.1016/S0165-1684(00)00278-4zbMath0989.94005OpenAlexW1985645590WikidataQ127230306 ScholiaQ127230306MaRDI QIDQ5958154

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Publication date: 3 March 2002

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0165-1684(00)00278-4

zbMATH Keywords

feature extraction\(M\)-band waveletstexture segmentationmultiscale representationtexture images

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Numerical methods for wavelets (65T60) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (4)

Frame multiresolution analysis of continuous piecewise linear functions ⋮ Texture classification and segmentation using wavelet packet frame and Gaussian mixture model ⋮ Linear transformation based error correction algorithm for fractal dimension estimation of images ⋮ M-BAND WAVELETS: APPLICATION TO TEXTURE SEGMENTATION FOR REAL LIFE IMAGE ANALYSIS

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