DocumentCode :
1566462
Title :
Image Segmentation using Salient Points-Based Object Templates
Author :
Zhang, Haijun ; Goldman, S.A.
Author_Institution :
Dept. of Comput. Sci. & Eng., Washington Univ., St. Louis, MO, USA
fYear :
2006
Firstpage :
765
Lastpage :
768
Abstract :
Using prior knowledge about object(s) is greatly beneficial for accurate image segmentation. In this paper, we present an image segmentation method that performs segmentation using a set of user provided object templates. For the object templates, we call the salient points in the object the characteristic points of the object. Based on the correspondence between the salient points of an arbitrary image and the characteristic points of the objects, object templates are mapped onto the image as bit masks. All templates for the same object are combined to generate the final object/background segmentation. Experiments show that this method can create good segmentations.
Keywords :
image matching; image segmentation; image mapping; image segmentation; salient points-based object template; Active shape model; Computer science; Deformable models; Detectors; Humans; Image segmentation; Knowledge engineering; Object detection; Pixel; Wavelet coefficients; Image segmentation; affine transformation; salient point; template-based segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1522-4880
Print_ISBN :
1-4244-0480-0
Type :
conf
DOI :
10.1109/ICIP.2006.312424
Filename :
4106642
Link To Document :
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