DocumentCode :
276146
Title :
A neural network based position invariant pattern recognition system with a constrained hypermedia style user-interface
Author :
Mertzanis, E.C. ; Dukic, D.A. ; Benest, I.D. ; Austin, J.
Author_Institution :
York Univ., UK
fYear :
1992
fDate :
7-9 Apr 1992
Firstpage :
217
Lastpage :
220
Abstract :
Introduces a method capable of recognising an aircraft from any viewpoint in uncluttered noisy scenes. The authors also describe a proposed exploitation of a recently developed hypermedia style user-interface for presenting and manipulating information, and for enabling users to specify image processing and pattern recognition operations. The paper is structured in two main parts. The first part describes the pattern recognition process and includes a description of the image processing procedures, a detailed description of the Quadtree and normalised Quadtree data structures, the theory and properties of the Octree data structure, and finally the actual method used in order to train and test the artificial neural network. The second part describes an initial presentation of the user-interface graphical environment and its corresponding sub-parts for each individual stage of the pattern recognition process
Keywords :
computerised pattern recognition; graphical user interfaces; hypermedia; neural nets; Octree data structure; Quadtree; Quadtree data structures; a description of the image processing procedures; aircraft recognition; constrained hypermedia; graphical environment; neural network; pattern recognition system; position invariant; user-interface;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Image Processing and its Applications, 1992., International Conference on
Conference_Location :
Maastricht
Print_ISBN :
0-85296-543-5
Type :
conf
Filename :
146777
Link To Document :
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