New image retrieval approach based on interest points

JunWei Han; Lei Guo

doi:10.1117/12.473035

1 July 2002 New image retrieval approach based on interest points

JunWei Han, Lei Guo

Proceedings Volume 4862, Internet Multimedia Management Systems III; (2002) https://doi.org/10.1117/12.473035
Event: ITCom 2002: The Convergence of Information Technologies and Communications, 2002, Boston, MA, United States

Abstract

Content-based image retrieval (CBIR) is becoming a hot research point in the field of multimedia information retrieval. Interest points are local features with high informational content. So, this paper proposes a novel method for image retrieval using interest points, which contains three key stages: interest points detection, image features description based on interest points and similarity measure between two images. In the process of detecting interest points, firstly, we use a self-adaptive filter to smooth image, and then use detector to find interest points. In the stage of image features description, we design a histogram to represent image, which contains local gray changes of interest points, mutual position relations among interest points and interest points distribution of the whole image. In the stage of similarity measure, we use the distance between two histograms to calculate similarity between two images. Lots of experimental results based on a database containing 1500 images demonstrate our proposed approach is efficient.

Citation Download Citation

JunWei Han and Lei Guo "New image retrieval approach based on interest points", Proc. SPIE 4862, Internet Multimedia Management Systems III, (1 July 2002); https://doi.org/10.1117/12.473035

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