JACIII Vol.10 No.5 pp. 761-768
doi: 10.20965/jaciii.2006.p0761


Visual Cortex Inspired Intelligent Contour Detection

Barna Reskó, Zoltán Petres, András Róka, and Péter Baranyi

Computer and Automation Research Institute, Hungarian Academy of Sciences, 1111 Budapest, Kende u. 13-17

July 7, 2006
July 11, 2006
September 20, 2006
image contour detection, visual feature array, negative filtering

The present paper proposes a model for intelligent image contour detection. The model is strongly based on the architecture and functionality of the mammalian visual cortex. A pixel-to-feature transformation is performed on the input image, the result of which is a set of abstract image features, instead of another set of pixels. The contouring task is performed by a vast and complex network of simple units of computation that work together in a parallel way. The use of a large number of such simple units allows a clear structure that can be implemented on a special hardware to allow constant time computation.

Cite this article as:
B. Reskó, Z. Petres, A. Róka, and P. Baranyi, “Visual Cortex Inspired Intelligent Contour Detection,” J. Adv. Comput. Intell. Intell. Inform., Vol.10, No.5, pp. 761-768, 2006.
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