Soft Computing Based Texture Classification with MATLAB Tool
Pankaj H. Chandankhede
Pankaj H. Chandankhede, Electronics & Telecommunication Engineering , G. H. Raisoni College of Engineering, Nagpur, Maharashtra, India.
Manuscript received on April 11, 2012. | Revised Manuscript received on April 14, 2012. | Manuscript published on May 05, 2012. | PP: 475-480 | Volume-2 Issue-2, May 2012 . | Retrieval Number: B0575042212/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper deals with Implementation of my previous work [1]. Here MATLAB simulation software is use as a platform tool for designing the concept of Texture Classification using Soft Computing Tool as a function of MATLAB. This paper classifies Textures on the basis of two novel approaches of artificial neural network & adaptive neuro-fuzzy inference system. This paper proves that neuro-fuzzy model performed better than the neural network in classification of texture image of three different types.
Keywords: Database, Neural Network Toolbox, Training, DCT Features, ANN, ANFIS, FIS Editor.