A model for subjective contour by anisotropic potential field maximization

  • Authors:

  • Osamu Hirose;Tomoharu Nagao

  • Affiliations:

  • Yokohama National University, Graduate School of Environment and Information Sciences, Tokiwadai, Hodogaya-ku, Yokohama, Japan;Yokohama National University, Graduate School of Environment and Information Sciences, Tokiwadai, Hodogaya-ku, Yokohama, Japan

  • Venue:
  • SSIP'07 Proceedings of the 7th WSEAS International Conference on Signal, Speech and Image Processing
  • Year:
  • 2007

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Abstract

The subjective contour generation in the human brain depends on the interaction of local and comprehensive processes realize this mechanism. The purpose of this paper is to propose a model that outputs subjective contours from line figures. This model, for a local process, detects endpoints and generates potential fields that represent probability of an occluding contour's existence. Each field is anisotropic and spreads perpendicularly to the line figure. Then, for a comprehensive process, the direction of potential fields are corrected to the degree their intersections are maximized in the image. Finally, it fixes subjective contours by tracking potential ridgelines and outputs a result image. The generated subjective contour is smoothly curved and the shape is appropriate compared to what we perceive.