DocumentCode
3003768
Title
Automatic extraction of region of interest from images with low depth of field
Author
Kim, MinChul ; Jeong, Hong
Author_Institution
Pohang Univ. of Sci. & Technol., Pohang, South Korea
fYear
2010
fDate
11-12 June 2010
Firstpage
257
Lastpage
259
Abstract
In this paper, we propose a new segmentation algorithm for separate focused foreground region from defocused background region with low depth of field image. This algorithm first computes the blur parameter each of pixel. Then, these parameter values are clustered to blurry regions and sharp regions using belief propagation algorithm. Experimental results show that this approach also can separate the focused image from defocused image.
Keywords
belief maintenance; feature extraction; image segmentation; pattern clustering; belief propagation algorithm; blur parameter; blurry region clustering; defocused background region; depth-of-field image; image extraction; region-of-interest image; segmentation algorithm; separate focused foreground region; Belief propagation; Cameras; Clustering algorithms; Data mining; Focusing; Geometrical optics; Image segmentation; Information technology; Lenses; Solid modeling; defocus image; image segmentation; low depth of field;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking and Information Technology (ICNIT), 2010 International Conference on
Conference_Location
Manila
Print_ISBN
978-1-4244-7579-7
Electronic_ISBN
978-1-4244-7578-0
Type
conf
DOI
10.1109/ICNIT.2010.5508518
Filename
5508518
Link To Document