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A Convex Active Contour Region-Based Model for Image Segmentation

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Computer Analysis of Images and Patterns (CAIP 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6854))

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Abstract

A novel region-based active contour model is proposed in this paper. By using the image local information in the energy function, our model is able to efficiently segment images with intensity inhomogeneity. Moreover, the proposed model is convex. So, it is independent of the initial condition. Furthermore, the energy function of the proposed model is minimized in a computationally efficient way by using the Chambolle method.

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Author information

Authors and Affiliations

  1. L2TI, University Paris 13, Villetaneuse, France

    Quang Tung Thieu, Marie Luong & Emmanuel Viennet

  2. Hopital Avicenne-Medecine Nucleaire, Bobigny, France

    Jean-Marie Rocchisani

Authors
  1. Quang Tung Thieu
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  2. Marie Luong
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  3. Jean-Marie Rocchisani
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  4. Emmanuel Viennet
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Editor information

Editors and Affiliations

  1. Dpto. Matematica Aplicada I, Escuaela Técnica Superior de Ingeniería Informática, Universite de Sevilla, Avda. Reina Mercedes, s/n, 41012, Sevilla, Spain

    Pedro Real

  2. Departamento de Matemática Aplicada I, Escuela Técnica Superior de Ingeniería Informática, University of Seville, Avenida Reina Mercedes s/n, 41012, Sevilla, Spain

    Daniel Diaz-Pernil  & Helena Molina-Abril  & 

  3. Departamento de Didáctica de la Mathemática y de las CC.Experimentales, Universidad del País Vasco-Esukal Herriko Unibertsitatea, Escuela Universitaria de Magisterio, Ramón y Cajal, 72, 48014, Bilbao (Bizcaia), Spain

    Ainhoa Berciano

  4. Institute of Computer Graphics and Algorithms, Pattern Recognition and Image Processing Group, Vienna University of Technology, Favoritenstraße 9/186-3, 1040, Vienna, Austria

    Walter Kropatsch

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© 2011 Springer-Verlag Berlin Heidelberg

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Thieu, Q.T., Luong, M., Rocchisani, JM., Viennet, E. (2011). A Convex Active Contour Region-Based Model for Image Segmentation. In: Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A., Kropatsch, W. (eds) Computer Analysis of Images and Patterns. CAIP 2011. Lecture Notes in Computer Science, vol 6854. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23672-3_17

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  • DOI: https://doi.org/10.1007/978-3-642-23672-3_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23671-6

  • Online ISBN: 978-3-642-23672-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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