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Extraction of Perceptual Hue Feature Set for Color Image/Video Segmentation

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5353))

Abstract

In this paper, we present a simple but effective algorithm for the extraction of perceptual hue feature set used in color image/video segmentation with emphasis on color textures. Feature extraction, with significant impact on the overall image/video analysis process, plays a critical role in classification-based segmentation. Color textures are accurately characterized by the newly introduced feature set with invariance to illumination, translation, and rotation, which is contributed by the statistical scheme in exploring the distribution of six rudimentary colors and the achromatic component at local positions. The feature set provides characteristic information and enables segmentation that is more meaningful than the recently published works do.

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References

  1. Cheng, H.D., Jiang, X.H., Sun, Y., Wang, J.: Color image segmentation: advances and prospects. Pattern Recognition 34(12), 2259–2281 (2001)

    Article  MATH  Google Scholar 

  2. Gonzalez, R.C., Woods, R.E.: Digital image processing, 2nd edn. Prentice Hall PTR, Upper Saddle River (2002)

    Google Scholar 

  3. Randen, T., Husoy, J.H.: Filtering for texture classification: a comparative study. IEEE Trans. on Pattern Analysis and Machine Intelligence 21(4), 291–310 (1999)

    Article  Google Scholar 

  4. Salvador, S., Chan, P.: Determining the number of clusters/segments in hierarchical clustering/segmentation algorithms. In: Proceedings of 16th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2004 (2004)

    Google Scholar 

  5. Hoang, M.A., Geusebroek, J.-M., Smeulders, A.W.M.: Color texture measurement and segmentation. Signal Processing 85(2), 265–275 (2005)

    Article  MATH  Google Scholar 

  6. Deng, Y., Manjunath, B.S.: Unsupervised segmentation of color texture regions in images and video. IEEE. Trans. on Pattern analysis and machine intelligence 23(8) (August 2001)

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© 2008 Springer-Verlag Berlin Heidelberg

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Wang, MJ., Lee, G.G., Lin, HY. (2008). Extraction of Perceptual Hue Feature Set for Color Image/Video Segmentation. In: Huang, YM.R., et al. Advances in Multimedia Information Processing - PCM 2008. PCM 2008. Lecture Notes in Computer Science, vol 5353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89796-5_103

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  • DOI: https://doi.org/10.1007/978-3-540-89796-5_103

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-89795-8

  • Online ISBN: 978-3-540-89796-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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