NDLI: Performance of Decamouflaging Through Exploratory Image Analysis

Content Provider	IEEE Xplore Digital Library
Author	Sengottuvelan, P. Wahi, A. Shanmugam, A.
Copyright Year	2008
Description	Author affiliation: Dept. of Inf. Technol., Bannari Amman Inst. of Technol., Sathyamangalam (Sengottuvelan, P.; Wahi, A.; Shanmugam, A.)
Abstract	Camouflaging is the process of disguising an object to blend it with its surrounding. A camouflaged object cannot be seen by the human vision system. De-camouflaging is the identification and recognition of the object which is camouflaged. For the de-camouflaging of the image, texture analysis is carried out in different part of the image. Based on the results of the analysis, camouflaged object is detected. This paper mainly focuses on application of de-camouflaging in defense area, which is needed for our country to save soldiers. In defense area the soldiers wear dresses based on the war field. So they cannot be easily predicted by the enemies. In this paper we have proposed a system to identify the camouflaged object and to extract that from the background efficiently. Normally, de-camouflaging is done in unsupervised way, which means we do not have any knowledge about either the normal background or the camouflaged object. The camouflaged objects are surface objects which are induced with hiding characteristics by merging their visuals with the nature of background. The nature of the background is the background color, texture, shape, motion etc. We use texture analysis method to isolate the camouflaged object.
Starting Page	6
Ending Page	10
File Size	166093
Page Count	5
File Format	PDF
ISBN	9780769532677
DOI	10.1109/ICETET.2008.232
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-16
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Texture analysis Machine vision Image processing Camouflage Distance measurement Object recognition Arrays Dendrogram Joining processes Pixel GLCM
Content Type	Text
Resource Type	Article

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