Fuzzy texture unsupervised classification approach using conditional local variance model

被引：0
|
作者：
Velloso, MLF [1 ]
Souza, FJ [1 ]
Almeida, NN [1 ]
机构：
[1] Univ Estado Rio De Janeiro, Dept Elect Engn, BR-52420550 Rio De Janeiro, Brazil
来源：
NAFIPS 2004: ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, VOLS 1AND 2: FUZZY SETS IN THE HEART OF THE CANADIAN ROCKIES | 2004年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
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页码：491 / 495
页数：5
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