Title :
Fuzzy texture unsupervised classification approach using conditional local variance model
Author :
Velloso, M.L.F. ; Souza, F.J. ; Almeida, N.N.
Author_Institution :
Dept. of Electron. Eng., Rio de Janeiro State Univ., Brazil
Abstract :
This paper presents a fuzzy-based unsupervised segmentation of textured images. We treated texture features and color features separately. Fuzzy-based homogeneity decision is used to measure the similarity of regions by making a soft fusion of texture features and color features. Texture model, the Multiplicative Autoregressive Random Field with Conditional variance (MARC), uses a neighborhood-dependent conditional variance.
Keywords :
autoregressive processes; feature extraction; fuzzy logic; image classification; image colour analysis; image segmentation; image texture; random processes; unsupervised learning; conditional local variance model; fuzzy based homogeneity decision; fuzzy based unsupervised segmentation; fuzzy texture model; image colour analysis; image segmentation; multiplicative autoregressive random field; neighborhood dependent conditional variance; textured images; unsupervised image classification; Feature extraction; Image analysis; Image classification; Image processing; Image resolution; Image segmentation; Image texture analysis; Information analysis; Remote sensing; Spatial resolution;
Conference_Titel :
Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
Print_ISBN :
0-7803-8376-1
DOI :
10.1109/NAFIPS.2004.1336332
