Surface Image Local Contrast Enhancement Based on Texture Discrimination via Grey Relational Analysis

Gang Li; Xin Ping Xiao; Ya La Tong

doi:10.4028/www.scientific.net/AMM.121-126.2937

Paper Titles

Study on Mountainous Shallow-Buried Coal Seam Mining Working Face Strata Behaviors and Overlying Strata Movement Features
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Study on Preparation and Properties of Recycled Plastic-Poplar Plywood
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Study on Relationship between Partial Load and Rib Effect Coefficient of Refrigeration Heat Exchanger Used in Air Conditioning
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Study on the Micro-Structure of High Temperature Oxide Scales Applied Loads on 12CrMoV Alloy
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Surface Image Local Contrast Enhancement Based on Texture Discrimination via Grey Relational Analysis
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Study on Waste Concrete as Reclaimed Fine Aggregate
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Survey of Punishment on Violation of Discipline by Students of College of Petroleum and Natural Gass Engineering and Countermeasure Study
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The Application of Phase-Inversion Symmetric Method in the Frequency, Time and Space Domain
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Technology Research on Relief Annealing of 65Mn Metal Rubber
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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 121-126Surface Image Local Contrast Enhancement Based on...

Surface Image Local Contrast Enhancement Based on Texture Discrimination via Grey Relational Analysis

Abstract:

Based on the analysis of main texture information in the neighborhood of image, we use the grey relational coefficient to decide the most obvious texture direction, which is conductive to selectively increase the local contrast of surface image. Simulation results show that the algorithm can obtain better experimental results, and it is a good method worth continuing to study later.

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Periodical:

Applied Mechanics and Materials (Volumes 121-126)

Pages:

2937-2941

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.121-126.2937

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Online since:

October 2011

Authors:

Gang Li, Xin Ping Xiao, Ya La Tong

Keywords:

Grey Relational Analysis (GRA), Local Contrast Enhancement, Texture Discrimination

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References

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