DocumentCode
2042395
Title
Recognition of scenery images considering positional relation using Fuzzy Inference Neural Networks
Author
Yamamura, Atsushi ; Hagiwara, Masafumi
Author_Institution
Dept. of Inf. & Comput. Sci., Keio Univ., Yokohama, Japan
Volume
2
fYear
2001
fDate
2001
Firstpage
1205
Abstract
In this paper, we propose a new system for recognition of scenery images, by learning. The proposed system consists of 2 parts. One is the part which infers based on absolute position of target. The other is the part which infers based on relative position of target. Each part consists of Fuzzy Inference Neural Network (FINN) which can extract fuzzy if-then rules automatically. So the system can extract knowledge about absolute position and relative position. Through computer experiments, it can be seen that the proposed system can recognize the image much correctly
Keywords
fuzzy neural nets; image recognition; image segmentation; inference mechanisms; learning (artificial intelligence); fuzzy inference neural network; image recognition; learning; neural network; regional segmentation; rule extraction; scenery images; Application software; Color; Computer science; Data mining; Fuzzy neural networks; Image recognition; Image segmentation; Neural networks; Pixel; Regions;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location
Tucson, AZ
ISSN
1062-922X
Print_ISBN
0-7803-7087-2
Type
conf
DOI
10.1109/ICSMC.2001.973084
Filename
973084
Link To Document