By Topic

Knowledge extraction from scenery images and the recognition using fuzzy inference neural networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Iyatomi, H. ; Fac. of Sci. & Technol., Keio Univ., Yokohama, Japan ; Hagiwara, M.

A new system of knowledge extraction and recognition from scenery images is proposed in this paper. The system can extract different levels of knowledge automatically using Fuzzy Inference Neural Network (FINN). The proposed system consists of several Knowledge Extraction Networks (KENs). Each one is composed of FINN, and it can extract fuzzy if-then rules automatically. The KEN has an input-output (I/O) layer and two different-sized rule layers. The I/O layer includes the input part and the output part. The input part receives information on a pixel such as the position, the Intensity, the Hue and the Saturation. The output part receives the label of the corresponding pixel such as sky, mountains and woods, etc. The larger rule layer extracts detailed knowledge and it uses for the image recognition. On the other hand, the smaller rule layer extracts global knowledge which can correct contradiction of detailed knowledge and can remove trivial knowledge. It can be seen that the proposed system can recognize the image almost correctly by computer experiments. Knowledge is obtained by integrating rules from each KEN and then translating them into linguistic form. The extracted knowledge is quite natural

Published in:

Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on  (Volume:5 )

Date of Conference:

11-14 Oct 1998