NDLI: Image processing and understanding based on the fuzzy inference approach

Content Provider	IEEE Xplore Digital Library
Author	Bor-Tow Chen Yung-Sheng Chen Wen-Hsing Hsu
Copyright Year	1994
Description	Author affiliation: Inst. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan (Bor-Tow Chen)
Abstract	In this paper, the feeling of human to images is analyzed using the fuzzy set theory and the processes are implemented based on the fuzzy inference method in order to construct a fuzzy-based image processing and understanding system. Owing to the linguistic meaning of a fuzzy set, we can handle the global feeling of an image instead of the numerical information extraction by some image transformation and pixel statistics. An image understanding process is proposed to label and extract the target object of the image, which is only described by linguistic assignment. The objects in the image are labeled by a membership grade, and the "fuzzy" object is recognized and extracted by the fuzzy inference method. We propose the two-phase module to implement the idea. Two steps include the training and processing steps, the latter one involves two phases: the global feature extraction phase and the process phase. A basic system is constructed, and the feasibility has been confirmed according to the satisfactory performance.<>
Starting Page	254
Ending Page	259
File Size	583188
Page Count	6
File Format	PDF
ISBN	078031896X
DOI	10.1109/FUZZY.1994.343757
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-06-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image processing Data mining Fuzzy set theory Humans Image analysis Fuzzy systems Fuzzy sets Pixel Statistics Image recognition
Content Type	Text
Resource Type	Article

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