A Computational Model for Boundary Detection

  • Gopal Datt Joshi
  • Jayanthi Sivaswamy
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4338)


Boundary detection in natural images is a fundamental problem in many computer vision tasks. In this paper, we argue that early stages in primary visual cortex provide ample information to address the boundary detection problem. In other words, global visual primitives such as object and region boundaries can be extracted using local features captured by the receptive fields. The anatomy of visual cortex and psychological evidences are studied to identify some of the important underlying computational principles for the boundary detection task. A scheme for boundary detection based on these principles is developed and presented. Results of testing the scheme on a benchmark set of natural images, with associated human marked boundaries, show the performance to be quantitatively competitive with existing computer vision approaches.


Visual Cortex Human Visual System Natural Image Lateral Geniculate Nucleus Primary Visual Cortex 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Gopal Datt Joshi
    • 1
  • Jayanthi Sivaswamy
    • 1
  1. 1.Centre for Visual Information TechnologyIIIT HyderabadIndia

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