DocumentCode
3055938
Title
Initial segmentation for knowledge indexing
Author
Hild, Michael ; Shirai, Yoshiaki ; Asada, Minoru
Author_Institution
Dept. of Mech. Eng. for Comput. Controlled Mach., Osaka Univ., Yamada-oka, Japan
fYear
1992
fDate
30 Aug-3 Sep 1992
Firstpage
587
Lastpage
590
Abstract
A framework for bottom-up initial segmentation of color images is proposed in which the role of initial segmentation is restricted to generating indices into a knowledge base of object models. The importance of primitive knowledge, feature integration and feature salience is discussed in the case of color and texture
Keywords
image processing; knowledge based systems; pattern recognition; bottom-up initial segmentation; color images; feature integration; feature salience; knowledge indexing; primitive knowledge; texture; Color; Control systems; Image segmentation; Indexing; Knowledge engineering; Layout; Machine vision; Machinery; Mechanical engineering; Surface texture;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 1992. Vol.I. Conference A: Computer Vision and Applications, Proceedings., 11th IAPR International Conference on
Conference_Location
The Hague
Print_ISBN
0-8186-2910-X
Type
conf
DOI
10.1109/ICPR.1992.201630
Filename
201630
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