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Texture Feature Extraction through Oblong Aperture and Segmentation using Level Sets
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 51 - Number 14 |
| Year of Publication: 2012 |
| Authors: K M Sadyojatha, Vinayadatt V Kohir, Subhash Kulkarni |
10.5120/8109-1718
|
K M Sadyojatha, Vinayadatt V Kohir, Subhash Kulkarni . Texture Feature Extraction through Oblong Aperture and Segmentation using Level Sets. International Journal of Computer Applications. 51, 14 ( August 2012), 19-22. DOI=10.5120/8109-1718
Abstract
An explorative work on texture feature extraction through oblong aperture for the non random type of texture images is presented in this paper. These features are further useful for segmenting the texture regions using the level set framework. The statistical moment descriptors are obtained within a small aperture and are embedded into a level set frame work for segmentation. The shape of the aperture normally would be square and size selection done optimally. The square shaped aperture sometimes does not yield good feature descriptors particularly when the textured regions are highly structured. The proposed oblong aperture provides an appreciable change in extracted features particularly for structured images in contrast to the square shaped aperture.
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