Title :
Image segmentation with scalable spatial information
Author :
Leung, C.K. ; Lam, F.K.
Author_Institution :
Dept. of Electron. Eng., Hong Kong Polytech., Kowloon, Hong Kong
Abstract :
A general approach is proposed for the design of image segmentation algorithms utilizing spatial information which is the combined properties of a collection of neighborhood pixels. With different types of properties and different number of neighborhood pixels being utilized, segmentation algorithms with different speed and accuracy performance can be designed. Six algorithms have been implemented with their performance investigated and compared.
Keywords :
image classification; image segmentation; maximum likelihood estimation; MAP; accuracy; digital image classification; image segmentation algorithms; maximum a posteriori probability; neighborhood pixels; performance; scalable spatial information; speed; Algorithm design and analysis; Digital images; Gray-scale; Image segmentation; Layout; Markov random fields; Pattern recognition; Pixel; Speech; Telecommunication computing;
Conference_Titel :
TENCON '97. IEEE Region 10 Annual Conference. Speech and Image Technologies for Computing and Telecommunications., Proceedings of IEEE
Conference_Location :
Brisbane, Qld., Australia
Print_ISBN :
0-7803-4365-4
DOI :
10.1109/TENCON.1997.647330
