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| An Improved Paper Defects Denoising Method Based on Gray Associated with Neighborhood Characteristics |
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| DOI：10.11981/j.issn.1000-6842.2013.01.44 |
| Key Words:mean filtering； median filtering； gray theory； neighborhood characteristics |
| Fund Project: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）。 |
| Author Name | Affiliation | | 魏爱娟 | 陕西科技大学电气与信息工程学院，陕西西安，710021 | | 李 茜 | 陕西科技大学电气与信息工程学院，陕西西安，710021 | | 汤 伟 | 陕西科技大学电气与信息工程学院，陕西西安，710021 |
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| 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. |
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