DocumentCode :
2066687
Title :
Shape understanding: knowledge generation and learning
Author :
Les, Zbigniew ; Tadeusiewicz, Ryszard ; Les, Magdalena
Author_Institution :
Univ. of Melbourne, Toorak, Vic., Australia
fYear :
2001
fDate :
18-21 Nov. 2001
Firstpage :
189
Lastpage :
195
Abstract :
Image analysis and recognition applied in medical engineering requires specific methods of shape analysis and representation that need to be learnt. In this paper the method of knowledge generation as a part of a shape understanding method is proposed. The knowledge generation method used in the system of shape understanding is related to hierarchically organised knowledge of the shape classes. The system of shape understanding that is able to perform different tasks of shape analysis and recognition, based on the ability of the system to understand the different concepts of shape at the different levels of cognition, is proposed. The system consists of different types of experts that perform different processing and reasoning tasks and is designed to perform the visual diagnosis in medical applications.
Keywords :
data mining; image recognition; image representation; medical image processing; image analysis; image recognition; knowledge discovery; knowledge generation; knowledge learning; medical engineering; shape representation; shape understanding; visual diagnosis; Biomedical engineering; Biomedical equipment; Biomedical imaging; Cognition; Image analysis; Image recognition; Medical diagnostic imaging; Medical services; Performance analysis; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Systems Conference, The Seventh Australian and New Zealand 2001
Print_ISBN :
1-74052-061-0
Type :
conf
DOI :
10.1109/ANZIIS.2001.974074
Filename :
974074
Link To Document :
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