DocumentCode :
1161113
Title :
A Feature Extraction Algorithm Based on Local Picture Computation
Author :
Hayashi, Yoshio ; Suto, Yasuzo
Volume :
7
Issue :
10
fYear :
1977
Firstpage :
743
Lastpage :
749
Abstract :
A binary picture feature extraction algorithm using picture primitive notation and Perceptrons is presented. The first step is to define picture basic segments as geometric factors. This algorithm proves that the pictorial structure can be described by the geometric factors so that such effective feature values as picture size, perimeter, picture shape, and texture can be extracted on the basis of local picture computation. The local property of picture computation is evaluated by the concept called "order" of the Perceptrons. Further, based on this feature extraction algor-ithm, an efficient picture recognition system is realized. The effectiveness and practicability of this algorithm are clarified by computer simulation.
Keywords :
Application software; Biological cells; Cities and towns; Computer simulation; Engineering drawings; Feature extraction; Nearest neighbor searches; Pattern recognition; Shape; White blood cells;
fLanguage :
English
Journal_Title :
Systems, Man and Cybernetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9472
Type :
jour
DOI :
10.1109/TSMC.1977.4309609
Filename :
4309609
Link To Document :
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