DocumentCode :
2911348
Title :
Thinning Based Multipurpose Camouflage Pattern Design
Author :
Hejrandoost, Arash Abdi ; Safabakhsh, Reza
Author_Institution :
Amirkabir Univ., Tehran, Iran
fYear :
2011
fDate :
16-17 Nov. 2011
Firstpage :
1
Lastpage :
5
Abstract :
Traditional generations of camouflage pattern were an artistic and manually work. Most of current computer aided camouflage pattern designs focused on a single background to produce the pattern for. In our proposed method, a multi background camouflage pattern is designed using Fuzzy C Means (FCM) clustering method followed by a object thinning algorithm to combine clustered backgrounds with each other. The goal is to generate patterns with similarity to all backgrounds. Experimental results and their evaluations demonstrate generated patterns inherited color and texture characteristics of all backgrounds.
Keywords :
fuzzy set theory; image colour analysis; image texture; image thinning; pattern clustering; color characteristics; computer aided camouflage pattern designs; fuzzy c-means clustering method; multibackground camouflage pattern; object thinning algorithm; texture characteristics; thinning based multipurpose camouflage pattern design; Clustering algorithms; Clustering methods; Computers; Histograms; Image color analysis; Image segmentation; Merging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision and Image Processing (MVIP), 2011 7th Iranian
Conference_Location :
Tehran
Print_ISBN :
978-1-4577-1533-4
Type :
conf
DOI :
10.1109/IranianMVIP.2011.6121542
Filename :
6121542
Link To Document :
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