DocumentCode
3061838
Title
Fast calculation of local moments and application to range image segmentation
Author
Li, Bing-Cheng ; Shen, Jun
Author_Institution
Dept. of Biomed. Eng., Southeast Univ., Nanjing, China
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
298
Lastpage
301
Abstract
Shows that the filter-based methods and facet-model-based methods widely used in image analysis and computer vision can be unified by the local moments method, which reveals the relation between these methods and thus extends application of local moments to edge detection, optic flow calculation and range image segmentation, etc. A fast algorithm to calculate local moments is proposed. Finally, the authors present the application of the method to range image segmentation and show that it can segment range images effectively
Keywords
image segmentation; 2D images; edge detection; facet-model-based methods; filter-based methods; image processing; local moments; optic flow; range image segmentation; Biomedical engineering; Face detection; Image analysis; Image motion analysis; Image segmentation; Large Hadron Collider; Low pass filters; Optical filters; Petroleum; Polynomials;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2920-7
Type
conf
DOI
10.1109/ICPR.1992.201984
Filename
201984
Link To Document