基于自适应PCNN的紫外图像融合算法

Abstract

Abstract: The ultraviolet wavelength that corona discharge emits is 200~400 nm.In order to avoid the interference of sunlight and fluorescent lamp,ultraviolet discharge images are acquired by using the sun-blind band from 240 to 280 nm.A visible and UV image fusion algorithm is presented for locating corona discharge.The proposed method uses spatial frequency and information entropy as PCNN linking strength values.Experimental results show that this algorithm offers better fusion results than the weighted average method,the Laplacian-based method and the wavelet-based method.

Key words: image fusion;spatial frequency;information entropy;PCNN;linking strength

CLC Number:

TP391.41

MA Lixin,ZHOU Xiaobo,SHAN Yu. UV Image Fusion Based on Adaptive PCNN[J]., 2015, 28(10): 1-.

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UV Image Fusion Based on Adaptive PCNN

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