Shape Recognition Based on Freeman Chain Code

Jian Li; Shuai Guo; Feng Ye

doi:10.4028/www.scientific.net/AMR.317-319.2490

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 317-319Shape Recognition Based on Freeman Chain Code

Shape Recognition Based on Freeman Chain Code

Abstract:

In this paper, a shape recognition method based on Freeman chain code has been proposed. According to the detected corners, feature vector of a contour shape can be obtained. And the descriptor of each corner in the feature vector has three components, which are the normalized distance between the corner and the centroid of all the corners, the local main trend of both sides of the corners. By using the feature vector, the matching judgment has been given, and the results of the experiment are shown.

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Periodical:

Advanced Materials Research (Volumes 317-319)

Pages:

2490-2496

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.317-319.2490

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Online since:

August 2011

Authors:

Jian Li, Shuai Guo, Feng Ye

Keywords:

Corner Detection, Freeman Chain Code, Local Histogram, Shape Recognition

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References

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