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http://dx.doi.org/10.7236/JIWIT.2011.11.6.283

Object Retrieval Using the Corners Area Variability Based on Correlogram  

An, Young-Eun (조선이공대학 메카트로닉스과)
Lee, Ji-Min (조선대학교 정보통신공학과)
Yang, Won-Ii (조선대학교 전자공학과)
Choi, Young-Il (조선이공대학 메카트로닉스과)
Chang, Min-Hyuk (전자부품연구원)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.11, no.6, 2011 , pp. 283-288 More about this Journal
Abstract
This paper have proposed an object retrieval using the corners area variability based on correlogram. The proposed algorithm is processed as follows. First, the corner points of the object in an image are extracted and then the feature vectors are obtained. It are rearranged according to the number dimension and consist of sequence vectors. And the similarity based on the maximum of sequence vectors is measured. The proposed technique is invariant to the rotation or the transfer of the objects and more efficient in case that the objects present simple structure. In simulation that use Wang's database, the method presents that the recall property is improved by 0.03% and more than the standard corner patch histogram.
Keywords
Corner point; Variability; Rearranged feature vector; Maximum/minimum of sequence vectors;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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