Logistic membership function-based image fuzzy enhancement method and system

The invention discloses a logistic membership function-based image fuzzy enhancement method. The method comprises the steps of S10, acquiring a to-be-enhanced image, and expressing the image as a to-be-enhanced image in the spatial domain; S20, adopting the logistic function as a fuzzy membership fu...

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Hauptverfasser: LIU XIANGXING, ZHANG WEIGUO, CHEN XIAODONG, YAN DONG, CUI RONGHUA, WANG ZHIJIE, SONG LAISEN, NIU DONGTAO, SHENG GEHAO, PENG HONGXIA, GUO QIJUN, ZHAO JUNJIE, YAN JINGJING
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creator LIU XIANGXING
ZHANG WEIGUO
CHEN XIAODONG
YAN DONG
CUI RONGHUA
WANG ZHIJIE
SONG LAISEN
NIU DONGTAO
SHENG GEHAO
PENG HONGXIA
GUO QIJUN
ZHAO JUNJIE
YAN JINGJING
description The invention discloses a logistic membership function-based image fuzzy enhancement method. The method comprises the steps of S10, acquiring a to-be-enhanced image, and expressing the image as a to-be-enhanced image in the spatial domain; S20, adopting the logistic function as a fuzzy membership function, mapping the to-be-enhanced image from the spatial domain into the fuzzy domain so as to obtain a to-be-enhanced image in the fuzzy domain; S30, performing enhancement treatment on the to-be-enhanced image in the fuzzy domain to obtain an enhanced image in the fuzzy domain; S40, performing inverse transformation on the enhanced image in the fuzzy domain to obtain an enhanced image in the spatial domain. In addition, the invention further discloses a corresponding system. According to theinvention, the to-be-enhanced image can be simply and effectively enhanced. The method has relative advantages in the aspects of the information integrity of image borders, the adjustment appropriateness, and the algorithm co
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subjects CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
title Logistic membership function-based image fuzzy enhancement method and system
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