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A Hybrid Segmentation Method Applied to Color Images and 3D Information

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MICAI 2006: Advances in Artificial Intelligence (MICAI 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4293))

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Abstract

This paper presents a hybrid segmentation algorithm, which provides a synthetic image description in terms of regions. This method has been used to segment images of outdoor scenes. We have applied our segmentation algorithm to color images and images encoding 3D information. 5 different color spaces were tested. The segmentation results obtained with each color space are compared.

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Author information

Authors and Affiliations

  1. Centro de Investigación en Matemáticas,  

    Rafael Murrieta-Cid

  2. Tec de Monterrey, Campus Estado de, México

    Raúl Monroy

Authors
  1. Rafael Murrieta-Cid
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  2. Raúl Monroy
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Editor information

Editors and Affiliations

  1. Center for Computing Research, National Polytechnic Institute, 07738, Mexico City, México

    Alexander Gelbukh

  2. Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Luis Enrique Erro No. 1, Sta. Ma. Tonanzintla, 72840, Puebla, México

    Carlos Alberto Reyes-Garcia

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© 2006 Springer-Verlag Berlin Heidelberg

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Murrieta-Cid, R., Monroy, R. (2006). A Hybrid Segmentation Method Applied to Color Images and 3D Information. In: Gelbukh, A., Reyes-Garcia, C.A. (eds) MICAI 2006: Advances in Artificial Intelligence. MICAI 2006. Lecture Notes in Computer Science(), vol 4293. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11925231_75

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  • DOI: https://doi.org/10.1007/11925231_75

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49026-5

  • Online ISBN: 978-3-540-49058-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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