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Rough Set Based Image Segmentation of Video Sequences

  • Conference paper
Rough Sets and Current Trends in Computing (RSCTC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4259))

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Abstract

We describe a rough set based segmentation method of video sequences. In a frame, there are many objects and a background. We represent theses objects and a background by regions. We consider that each object or background is a region. This region is represented by a rough set. Rough set is approximately representation of a crisp set. Our method consists of two phases. First phase is updating regions phase that consist three steps. First step is setting initial parameters. We use previous regions’ parameters to initial parameters. Second step is updating object regions. Updating is by hill climbing method with our evaluation function. Third step is updating a background region. The background region is updated by using other regions. In second phase, we make a segmentation map of frame using the regions. An ambiguous pixel’s label is decided using distance with regions.

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Authors and Affiliations

  1. Department of Computer Engineering, Kyungpook National Univ., 1370, Sangyuk-dong, Puk-gu, Daegu, 702-701, Republic of Korea

    Young Sub Song & Hang Joon Kim

Authors
  1. Young Sub Song
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  2. Hang Joon Kim
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Editor information

Editors and Affiliations

  1. Faculty of Economics, University of Catania, Corso Italia, 55, 95129, Catania, Italy

    Salvatore Greco

  2. Graduate School of Engineering, Department of Electrical Engineering and Computer Sciences, University of Hyogo, 2167 Shosha, 671-2280,, Himeji, Hyogo, Japan

    Yutaka Hata

  3. Department of Medical Informatics, Faculty of Medicine, Shimane University, 89-1 Enya-cho, Izumo, 693-8501, Shimane, Japan

    Shoji Hirano

  4. Department of Systems Innovation, Graduate School of Engineering Science, Osaka University, 1-3, Machikaneyama, Toyonaka, 560-8531, Osaka, Japan

    Masahiro Inuiguchi

  5. Department of Risk Engineering, School of Systems and Information Engineering, University of Tsukuba, 305-8573, Ibaraki, Japan

    Sadaaki Miyamoto

  6. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Hung Son Nguyen

  7. Systems Research Institute, Polish Academy of Sciences, 01-447, Warsaw, Poland

    Roman Słowiński

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© 2006 Springer-Verlag Berlin Heidelberg

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Song, Y.S., Kim, H.J. (2006). Rough Set Based Image Segmentation of Video Sequences. In: Greco, S., et al. Rough Sets and Current Trends in Computing. RSCTC 2006. Lecture Notes in Computer Science(), vol 4259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11908029_87

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  • DOI: https://doi.org/10.1007/11908029_87

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47693-1

  • Online ISBN: 978-3-540-49842-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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