DocumentCode
3342245
Title
An Algorithm for 3D Image Segmentation
Author
Zhi, Ding ; Yu-ning, Dong
Author_Institution
Nanjing Univ. of Posts & Telecommun., Nanjing
fYear
2007
fDate
22-24 Aug. 2007
Firstpage
383
Lastpage
388
Abstract
We propose a new 3D image segmentation method based on prediction, block-matching and partial 3D constraint in this paper. The algorithm only needs to set a few key points in the first image. We use intensity information and block-matching to optimize the initial condition, and consider the 3D object´s characteristics at the same time. By using the partial 3D constraints we can get the result of 2D and 3D smoothness. Experimental results validate its usefulness in 3D image segmentation.
Keywords
image matching; image segmentation; 3D image segmentation; block-matching; intensity information; partial 3D constraint; Active contours; Computer graphics; Educational technology; Image converters; Image motion analysis; Image segmentation; Image sequences; Information processing; Prediction methods; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Graphics, 2007. ICIG 2007. Fourth International Conference on
Conference_Location
Sichuan
Print_ISBN
0-7695-2929-1
Type
conf
DOI
10.1109/ICIG.2007.123
Filename
4297117
Link To Document