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Research of Web Image Retrieval Technology Based on Hu Invariant Moments

  • Conference paper
Advances in Swarm Intelligence (ICSI 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7332))

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Abstract

Web image is the most widely used multimedia information style on the Internet, and it is also an important way to obtain information from the outside world. Therefore, content-based image search technology based on Hu invariant moments is studied here. We make preprocessing to color images in this paper firstly, and we make use of Hu invariant moments algorithm to extract the shape features of the images. Then image matching and retrieval technology is studied. At last, we design a prototype system, which can effectively search the most similar images according to user requirements.

Supported in part by funding from the National Natural Science Foundation of China (610-71118) and the National Natural Science Foundation of Chongqing University of Posts and Communications (A2009-62).

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Author information

Authors and Affiliations

  1. Chongqing University of Posts and Telecommunications, Chongqing, 400065, P.R. China

    Jian Wu & Siyong Xiong

Authors
  1. Jian Wu
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  2. Siyong Xiong
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Editors and Affiliations

  1. Key Laboratory of Machine Perception (MOE), Peking University, Department of Machine Intelligence, School of Electronics Engineering and Computer Science, Peking University, 100871, Beijing, China

    Ying Tan

  2. Department of Electrical and Electronic Engineering, Xi’an Jiaotong-Liverpool University, Suzhou, China

    Yuhui Shi

  3. Shenzhen City Key Laboratory of Embedded System Design, College of Computer Science and Software Engineering, Shenzhen University, 518060, Shenzhen, China

    Zhen Ji

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Wu, J., Xiong, S. (2012). Research of Web Image Retrieval Technology Based on Hu Invariant Moments. In: Tan, Y., Shi, Y., Ji, Z. (eds) Advances in Swarm Intelligence. ICSI 2012. Lecture Notes in Computer Science, vol 7332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31020-1_9

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  • DOI: https://doi.org/10.1007/978-3-642-31020-1_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31019-5

  • Online ISBN: 978-3-642-31020-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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