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
fDate :
30 Aug-3 Sep 1992
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;
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
DOI :
10.1109/ICPR.1992.201630
