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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Bibliographische Detailangaben
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
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS
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Beschreibung
Zusammenfassung:	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