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

Content Provider	IEEE Xplore Digital Library
Author	Iyatomi, H. Hagiwara, M.
Copyright Year	1998
Description	Author affiliation: Fac. of Sci. & Technol., Keio Univ., Yokohama, Japan (Iyatomi, H.)
Abstract	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.
Starting Page	4486
Ending Page	4491
File Size	568036
Page Count	6
File Format	PDF
ISBN	0780347781
ISSN	1062922X
DOI	10.1109/ICSMC.1998.727557
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-10-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Fuzzy neural networks Neural networks Data mining Fuzzy systems Computer networks Electronic mail Image segmentation Object recognition Pixel
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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