The Application of Gray Associated with Neighborhood Characteristics in the Defect Denoising

Ai Juan Wei; Qian Li; Wei Tang

doi:10.4028/www.scientific.net/AMM.262.414

Paper Titles

Detecting the Eight Kinds of Organic Solvent Residue in Paper by HS-GC/MS
p.395

Research on the Ink Absorption Test Method of High Reflectivity Paper
p.401

Synthesis and Characterization of Foamed Cassava Starch Material
p.405

Study on the Printability of Coated Paper on High-Fidelity Digital Printing
p.410

The Application of Gray Associated with Neighborhood Characteristics in the Defect Denoising
p.414

Study on the Technical Conditions of Old Newspaper(ONP)/ Recycled-Polypropylene(rPP) Composites
p.418

Use of Microcapsules of Oregano Essential Oil to Extend the Shelf Life of Strawberries
p.422

Research of the Factor that Influence the Glossiness of Water-Based Tipping Paper Gravure Varnish
p.426

Preparation and Properties of Anionic Polymer Emulsion in the Presence of a Reactive Surfactant
p.430

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 262The Application of Gray Associated with...

The Application of Gray Associated with Neighborhood Characteristics in the Defect Denoising

Abstract:

This paper proposed an improvement method based on Gray associated with neighborhood characteristics, according to the characteristics of paper defect images, such as the variety of noise sources and the limit of samples. The focus of this method is according to the internal relations between the various factors of the system and the development trend of the degree of similarity to measure the degree of association between these factors. Through example of simulation experiments show that the method is better inhibited image smoothing region noise and improve the visual effect of the denoised image.

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Periodical:

Applied Mechanics and Materials (Volume 262)

Pages:

414-417

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.262.414

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Online since:

December 2012

Authors:

Ai Juan Wei, Qian Li, Wei Tang

Keywords:

Gray Theory, MATLAB, Mean Filtering, Median Filtering, Neighborhood Characteristic

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