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