Wavelet Based Technique for Texture Classification

被引：0
作者：
Dubey, Yogita K. [1 ]
Belsare, Amoli D. [1 ]
Mushrif, Milind M. [1 ]
机构：
[1] Yeshwantrao Chavan Coll Engn, Dept Elect & Telecommun, Nagpur, Maharashtra, India
来源：
SECOND INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING | 2010年 / 7546卷
关键词：
Texture classification; Wavelet transform; Feature Extraction; Classification;
D O I：
10.1117/12.856315
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
This paper presents a technique for texture feature extraction and classification using wavelet transform. A image is decomposed into no. of sub-bands after applying Wavelet transform to it. A three level decomposition is carried out. A number of sub-bands are generated after wavelet decomposition. An energy signature is computed for each sub-band of these wavelet coefficients. A kappa-nearest neighbor's classifier is then employed to classify texture patterns. To test and evaluate the method, several sets of textures along with different wavelet bases are employed. Experimental results show superiority of the proposed method.
引用
收藏
页数：6
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