Texture classification and segmentation using wavelet packet frame and Gaussian mixture model
type: Item
instance of: scholarly article
title: Texture classification and segmentation using wavelet packet frame and Gaussian mixture model
zbMATH Open document ID: 1158.68472
author: Soo Chang Kim
author: Tae Jin Kang
published in: Pattern Recognition
publication date: 2007-02-14T00:00:00Z
Mathematics Subject Classification ID: 68T10
zbMATH DE Number: 5126521
zbMATH Keywords: texture classification
zbMATH Keywords: texture segmentation
zbMATH Keywords: wavelet packet frame
zbMATH Keywords: Gaussian mixture model
zbMATH Keywords: Kullback--Leibler divergence
zbMATH Keywords: fabric defect detection
MaRDI profile type: Publication
full work available at URL: j.patcog.2006.09.012
OpenAlex ID: W2049893410
cites work: A Comparative Study of Texture Measures for Terrain Classification
cites work: Computational models of visual neurons specialised in the detection of periodic and aperiodic oriented visual stimuli: bar and grating cells
cites work: An adaptive approach to unsupervised texture segmentation using \(M\)-band wavelet transform
cites work: Orthonormal bases of compactly supported wavelets
cites work: A theory for multiresolution signal decomposition: the wavelet representation
cites work: Q4359338
cites work: Entropy-based algorithms for best basis selection
DOI: 10.1016/J.PATCOG.2006.09.012
description: scientific article; zbMATH DE number 5126521