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A Real-Time Multisensory Image Segmentation Algorithm with an Application to Visual and X-Ray Inspection

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Computer Vision Systems (ICVS 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2626))

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Abstract

A new multisensory image segmentation algorithm is presented. In this algorithm, the images from different sensors are segmented in a sequential manner using curve evolution methods. There are no fusion rules involved and no controlling weights to adjust. It is effective in eliminating errors in single modality segmentation, and is fast enough for segmentation in real-time applications. The algorithm is applied to real-time fan bone detection in deboned poultry meat based on visual and x-ray images. Results show that the fusion-based inspection algorithm is efficient, accurate, and robust to registration errors.

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Author information

Authors and Affiliations

  1. Georgia Institute of Technology, School of Electrical and Computer Engineering, Atlanta, GA, 30332, USA

    Yuhua Ding, George J. Vachtsevanos, Anthony J. Yezzi Jr. & Bonnie S. Heck-Ferri

  2. Food Processing Technology Division, Electro-Optics, Environment and Materials Laboratory, Georgia Tech Research Institute, Atlanta, GA, 30332-0837, USA

    Wayne Daley

Authors
  1. Yuhua Ding
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  2. George J. Vachtsevanos
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  3. Anthony J. Yezzi Jr.
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  4. Wayne Daley
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  5. Bonnie S. Heck-Ferri
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Editor information

Editors and Affiliations

  1. INRIA Rhône-Alpes, 655 Ave de l’Europe, 38330, Montbonnot, France

    James L. Crowley

  2. Montefiore Institute, University of Liège, 4000, Liège Sart-Tilman, Belgium

    Justus H. Piater

  3. Automation and Control Institute, Vienna University of Technology, Gusshausstraße 27/376, 1040, Vienna, Austria

    Markus Vincze

  4. Institute of Digital Image Processing, Joanneum Research, Wastiangasse 6, 8010, Graz, Austria

    Lucas Paletta

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© 2003 Springer-Verlag Berlin Heidelberg

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Ding, Y., Vachtsevanos, G.J., Yezzi, A.J., Daley, W., Heck-Ferri, B.S. (2003). A Real-Time Multisensory Image Segmentation Algorithm with an Application to Visual and X-Ray Inspection. In: Crowley, J.L., Piater, J.H., Vincze, M., Paletta, L. (eds) Computer Vision Systems. ICVS 2003. Lecture Notes in Computer Science, vol 2626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36592-3_19

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  • DOI: https://doi.org/10.1007/3-540-36592-3_19

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00921-4

  • Online ISBN: 978-3-540-36592-1

  • eBook Packages: Springer Book Archive

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