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- W2390590874 abstract "The purpose of this paper is to build up a detection model by using SVM-based fuzzy inference system for the impulse noise in an image. The support vectors which are used for confirming the fuzzy basis function and creating the corresponding fuzzy rules were extracted from the training samples by the learning mechanism of SVM, and the fuzzy reasoning model was build up as a result. Accordingly, a noise detection system was constructed. This system is composed of two SVM-based fuzzy inference subsystems and a decision subsystem. Therein, the inference subsystems detect noise information on horizontal and vertical orientation, respectively; and the decision subsystem made decision by synthesizing horizontal and vertical information. The experiment results show that the proposed method can detect correctly and remove noise while preserving the detail information." @default.
- W2390590874 created "2016-06-24" @default.
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- W2390590874 date "2006-01-01" @default.
- W2390590874 modified "2023-09-23" @default.
- W2390590874 title "Modeling and Simulation of SVM-based Fuzzy Inference System for Image Denoise" @default.
- W2390590874 hasPublicationYear "2006" @default.
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