Improved Algorithm of DSCM for Seriously Polluted Images

Liang Hong

doi:10.4028/www.scientific.net/AMR.962-965.2741

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Study on Technology of Triangular Polyhedron 3D Human-Computer Interaction Modeling
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The Construction of Digital Campus in Colleges
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A Mobile Storage System for Massive Spatial Data
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A Parallel Scenario Processing Algorithm in Environmental Decision Support Systems
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Improved Algorithm of DSCM for Seriously Polluted Images
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Several Estimations of a Class of Integral Inequality in Engineering
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The Digitalization of Archives Management in Colleges
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 962-965Improved Algorithm of DSCM for Seriously Polluted...

Improved Algorithm of DSCM for Seriously Polluted Images

Abstract:

In DSCM,mean of a seriously polluted target image’s subdomain usually has a significant random fluctuation, this reduces the accuracy of subpixel registration. This paper proposed a algorithm to inhibit the fluctuation by replacing the mean of target subdomain with the mean of a superset domain. Experimental data shows that in some places this process can significantly improve the accuracy of correlation measure function’s interpolation.

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Periodical:

Advanced Materials Research (Volumes 962-965)

Pages:

2741-2744

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.962-965.2741

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Online since:

June 2014

Authors:

Liang Hong

Keywords:

Bicubic Interpolation, Correlation Measure Function, Demean Process, Digital Speckle Correlation Method (DSCM), Subdomain Mean Replacement

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