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Abstract
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Article Information:
Rotation Scale Invariant Texture Classification for a Computational Engine
C. Vivek and S. Audithan
Corresponding Author: C. Vivek
Submitted: June 11, 2014
Accepted: July 09, 2014
Published: October 05, 2014 |
Abstract:
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Texture analysis is a highly significant area in the arena of computer vision and connected pitches. Not the least, classification is also equally important and laudable zone in the area of understanding the texture pattern and is gaining a lot of interest among the researchers in the field of computer vision. It finds a widespread application in area of pattern classification, robotic applications, textile industries etc. In this study, rotation invariant texture has been analyzed and a novel Rotation scale invariant texture classification algorithm has been proposed and tested which is found to be very efficacious and improved results are obtained with the same. The proposed algorithm has been made to undergo testing with standard data sets as UMD dataset, Vision Texture (VisTex), UIUC dataset. The results are discussed clearly with a line of justification being drawn.
Key words: Invariant texture classification, texture, texture classification, texture data sets, , ,
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Abstract
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Cite this Reference:
C. Vivek and S. Audithan, . Rotation Scale Invariant Texture Classification for a Computational Engine. Research Journal of Applied Sciences, Engineering and Technology, (13): 1572-1577.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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