DocumentCode
2648033
Title
Segmentation of color map images based on color clustering and Markov models
Author
Liu, Ningyan ; Yan, Hong
Author_Institution
Dept. of Electr. Eng., Sydney Univ., NSW, Australia
fYear
1994
fDate
29 Nov-2 Dec 1994
Firstpage
293
Lastpage
296
Abstract
This paper presents a method for segmentation of color map images. A clustering algorithm is used to coarsely segment the image into several perceptually uniform regions according to the observed feature vectors, then a knowledge-based selection procedure chooses the clusters of well-defined foreground regions. Finally, contextual classification based on Markov random field (MRF) is applied to the image for fine classification
Keywords
Markov processes; image segmentation; knowledge based systems; Markov models; Markov random field; color clustering; color map images segmentation; contextual classification; fine classification; knowledge-based selection procedure; observed feature vectors; perceptually uniform regions; Additive noise; Australia; Clustering algorithms; Colored noise; Degradation; Humans; Image segmentation; Markov random fields; Printing; Prototypes;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Systems,1994. Proceedings of the 1994 Second Australian and New Zealand Conference on
Conference_Location
Brisbane, Qld.
Print_ISBN
0-7803-2404-8
Type
conf
DOI
10.1109/ANZIIS.1994.396976
Filename
396976
Link To Document