A Study on the Recognition of Low-Resolution Motion Visual Image

Jian Chuan Zhang; Huai Bo Song; Xue Yong Li; Chang Hou Lu

doi:10.4028/www.scientific.net/AMR.542-543.690

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 542-543A Study on the Recognition of Low-Resolution...

A Study on the Recognition of Low-Resolution Motion Visual Image

Abstract:

Because of shortcomings of images of motion objects in deep space，including non-uniform distribution of background pixels，low SNR, general 1ow picture quality and small size，a novel image segmentation algorithm based on the combination of image gradient and its variance is adopted. An algorithm to compute the correlation coefficient based on the small region template matching is presented. The algorithm overcomes the disadvantages of correlation disturbed frequently by noise, and size difference, besides it also reduces the computational complexity and improves the speed of the system．Experiments show that the algorithm has great accuracy，high speed，and good stability，and can meet the requirements of a real-time system.

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Periodical:

Advanced Materials Research (Volumes 542-543)

Pages:

690-694

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.542-543.690

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Online since:

June 2012

Authors:

Jian Chuan Zhang, Huai Bo Song, Xue Yong Li, Chang Hou Lu

Keywords:

Correlation Coefficient, Deep Space Objects, Low Resolution Image, Small Region Template Matching

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