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Shape Registration Based on Modified Chain Codes

  • Conference paper
Advanced Parallel Processing Technologies (APPT 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2834))

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Abstract

Shape descriptions based on the traditional chain codes are very susceptible to small perturbations in the contours of the objects. Therefore, direct matching of traditional chain codes could not be used for image retrieval based on the shape boundaries from the large databases. In this paper, a histogram based chain codes are proposed which could be used for image retrieval. The modified chain codes matching are invariant to translation, rotation and scaling transformations, and have high immunity to noise and small perturbations.

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References

  1. Nadler, M., Smith, E.P.: Pattern Recognition Engineering. A Wiley Interscience Publication, Hoboken

    Google Scholar 

  2. Goshtasby, A.: Registration of images with geometric distortions. IEEE Trans. Geosci. Remote Sensing 26, 60–64 (1988)

    Article  Google Scholar 

  3. Horn, B.K.P.: Robot Vision. The MIT Electrical Engineering and Computer Science Series

    Google Scholar 

  4. Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Addison-Wesley, Reading (1993); Allen

    Google Scholar 

  5. Freeman, H., Glass, J.M.: Boundary Encoding and Processing. In: Lipkin, B.S., rosenfeld, A. (eds.) Picture Processing and Psychopictorics, pp. 241–263. Academic Press, New york (1970)

    Google Scholar 

  6. Freeman, H., Glass, J.M.: Computer Processing of Line Drawing Images. Computing Surveys 6(1), 57–97 (1974)

    Article  MATH  Google Scholar 

  7. Kadyrov, A., Petrou, M.: Object descriptors invariant to affine distortions. In: The British Machine Vision Conference, pp. 391–400 (2001)

    Google Scholar 

  8. Bribiesca, E., Guzman, A.: Shape Description and Shape Similarity for Two- Dimensional Regions. In: Proceedings of the Fourth International Join Conference on Pattern Recognition, Kyoto, November 7-10, pp. 608–612. IEEE, Los Alamitos (1978)

    Google Scholar 

  9. Bribiesca, E., Guzman, A.: How to Describe Pure Form and How to Measure Differences in Shapes Using Shape Numbers. Pattern Recognition 12(2), 101–112 (1980)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Signal and Image Processing Lab, Dept. of Mechatronics, Kwangju Institute of Science and Technology, Kwangju, Korea

    Muhammad Bilal Ahmad & Tae-Sun Choi

  2. Electronics Information & Communications Engineering, Chosun University, Kwangju, Korea

    Jong-An Park, Min Hyuk Chang & Young-Suk Shim

Authors
  1. Muhammad Bilal Ahmad
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  2. Jong-An Park
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  3. Min Hyuk Chang
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  4. Young-Suk Shim
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  5. Tae-Sun Choi
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Editor information

Editors and Affiliations

  1. PDL, National University of Defense Technology, 410073, Changsha, China

    Xingming Zhou

  2. Department of Network Engineering, School of Computer Science, National University of Defense Technology, 410073, Changsha, China

    Ming Xu

  3. Fraunhofer FIRST, Kekuléstr. 7, D-12489, Berlin, Germany

    Stefan Jähnichen

  4. Department of Computing, Hong Kong Polytechnic University, Kowloon, Hong Kong, China

    Jiannong Cao

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© 2003 Springer-Verlag Berlin Heidelberg

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Ahmad, M.B., Park, JA., Chang, M.H., Shim, YS., Choi, TS. (2003). Shape Registration Based on Modified Chain Codes. In: Zhou, X., Xu, M., Jähnichen, S., Cao, J. (eds) Advanced Parallel Processing Technologies. APPT 2003. Lecture Notes in Computer Science, vol 2834. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39425-9_70

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  • DOI: https://doi.org/10.1007/978-3-540-39425-9_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20054-3

  • Online ISBN: 978-3-540-39425-9

  • eBook Packages: Springer Book Archive

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