|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.|
|Rights:||The publisher has not yet responded to our queries therefore this work cannot be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.|
|Texture Recognition by Fusion of Optimized Moment Based and Gabor Energy Features.pdf||538.9 kB||Adobe PDF||Under Permanent Embargo Request a copy|
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.
This item is protected by original copyright
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
If you believe that any material held in STORRE infringes copyright, please contact email@example.com providing details and we will remove the Work from public display in STORRE and investigate your claim.