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Please use this identifier to cite or link to this item: http://hdl.handle.net/1783.1/4399
Title: Fuzzy one-mean and its applications on digital image processing
Authors: Chan, Wing-kwong
Issue Date: 1995
Abstract: In this thesis, a fuzzy one-mean filtering (FOMF) algorithm is developed which is derived from the Fuzzy c-Means Algorithm when the number of means is one. The FOMF algorithm can be viewed as a kind of weighted mean filter having fuzzy membership values as its weighting coefficients. During the course of studying FOMF, we find that the filters can be applied to a wide range of digital signal and image processing. These include decimation, interpolation, equalization, and noise smoothing. By suitable selection of parameters, FOMF can be configured as an arithmetic mean, or to become a median filter. With some modification, FOMF algorithm can be reconfigured to become FOM derivative filter (FOMDF) which can detect discontinuities of signals in noisy environment better than traditional techniques.
Description: Thesis (M.Phil.)--Hong Kong University of Science and Technology, 1995
vi, 95 leaves : ill. ; 30 cm
HKUST Call Number: Thesis ELEC 1995 ChanWK
URI: http://hdl.handle.net/1783.1/4399
Appears in Collections:ECE Master Theses

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