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CAIP
2001
Springer

Texture Feature Extraction and Classification

14 years 3 months ago
Texture Feature Extraction and Classification
Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes, it is important to develop significant features for texture. This paper presents a novel technique for texture extraction and classification. The proposed feature extraction technique uses 2D–DFT transformation. A combination of this technique and a Hamming Distance based neural network for classification of extracted features is investigated. The experimental results on a benchmark database and detailed analysis are presented.
Brijesh Verma, Siddhivinayak Kulkarni
Added 28 Jul 2010
Updated 28 Jul 2010
Type Conference
Year 2001
Where CAIP
Authors Brijesh Verma, Siddhivinayak Kulkarni
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