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