中国造纸学报2013，Vol.28Issue(1)：44-47,4.
基于邻域关联特性的纸病去噪方法
An Improved Paper Defects Denoising Method Based on Gray Associated with Neighborhood Characteristics
摘要
Abstract
This paper proposed an improved method based on gray associated with neighborhood characteristics, and the advantages and disadvantages of the method were compared with the traditional filtering method, such as mean filtering and median filtering methods. According to the characteristics of paper defect images, such as the variety of noise sources and the limit of samples, this method was based on the internal relations between the various factors of the system and the similarity degree of development trend to measure the degree of association between these factors. The simulation results demonstrated that this theory could effectively filtering Gaussian noise and Salt and Pepper noise, at the same time well protected the image details, thus providing a viable image processing tool for diagnosing paper detection.关键词
均值滤波/中值滤波/灰色理论/邻域关联特性Key words
mean filtering/ median filtering/ gray theory/ neighborhood characteristics分类
信息技术与安全科学引用本文复制引用
魏爱娟,李茜,汤伟..基于邻域关联特性的纸病去噪方法[J].中国造纸学报,2013,28(1):44-47,4.基金项目
本课题为咸阳市科技计划(兴咸计划)项目:APMP高浓磨浆机控制及故障诊断系统的研发(基金号:2011K07-18). （兴咸计划）
