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
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;
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-7087-2
DOI :
10.1109/ICSMC.2001.973084