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http://dx.doi.org/10.3745/JIPS.2013.9.4.660

Discriminatory Projection of Camouflaged Texture Through Line Masks  

Bhajantri, Nagappa (Dept. of Computer Science and Engg, Government Engineering College)
Pradeep, Kumar R. (Adithya Institute of Technology)
Nagabhushan, P. (University of Mysore, Department of Studies in Computer Science)
Publication Information
Journal of Information Processing Systems / v.9, no.4, 2013 , pp. 660-677 More about this Journal
Abstract
The blending of defective texture with the ambience texture results in camouflage. The gray value or color distribution pattern of the camouflaged images fails to reflect considerable deviations between the camouflaged object and the sublimating background demands improved strategies for texture analysis. In this research, we propose the implementation of an initial enhancement of the image that employs line masks, which could result in a better discrimination of the camouflaged portion. Finally, the gray value distribution patterns are analyzed in the enhanced image, to fix the camouflaged portions.
Keywords
Camouflage; Line mask; Enhancement; Texture analysis; Distribution pattern; Histogram; Regression line;
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