K-means iterative Fisher (KIF) unsupervised clustering algorithm applied to image texture segmentation

DOI10.1016/S0031-3203(01)00138-8zbMath1006.68867MaRDI QIDQ1860144

David A. Clausi

Publication date: 20 February 2003

Published in: Pattern Recognition (Search for Journal in Brave)

zbMATH Keywords

computer visionimage segmentationGabor filterstexture segmentationK-meansFisher linear discriminantbinary hierarchical clusteringco-occurrence probabilities

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10) Computing methodologies and applications (68U99) Machine vision and scene understanding (68T45)

Related Items (3)

Texture classification based on EMD and FFT ⋮ Potential functions-based wavelet transforms in pattern recognition problems ⋮ Simultaneous model-based clustering and visualization in the Fisher discriminative subspace

Cites Work

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