|Appears in Collections:||Computing Science and Mathematics Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Texture Recognition by Fusion of Optimized Moment Based and Gabor Energy Features|
|Keywords:||Moment based texture features|
Gabor energy features
Fisher’s criterion Texture Segmentation
|Citation:||Qaiser N, Hussain M, Hussain A & Qaiser N (2008) Texture Recognition by Fusion of Optimized Moment Based and Gabor Energy Features, International Journal of Computer Science and Network Security, 8 (2), pp. 264-270.|
|Abstract:||Use of a single technique for the extraction of diverse features in a texture image usually shows limited capabilities for texture description. Texture features extracted using different techniques can be merged in an attempt to enhance their texture description capability. This paper explores the fusion of optimized moment and Gabor energy texture features. The Fisher linear discriminant analysis is used to show that the discrimination effectiveness of the features increases as a result of the proposed fusion. Preliminary simulation results have been validated experimentally through the classification and segmentation of real texture images.|
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