Visual Cortex Inspired Intelligent Contour Detection | Zendy

Barna Reskó | Zendy; Zoltán Petres | Zendy; András Róka | Zendy; Péter Bárányi | Zendy

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Visual Cortex Inspired Intelligent Contour Detection

Author(s) -

Barna Reskó,

Zoltán Petres,

András Róka,

Péter Bárányi

Publication year - 2006

Publication title -

journal of advanced computational intelligence and intelligent informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.172

H-Index - 20

eISSN - 1343-0130

pISSN - 1883-8014

DOI - 10.20965/jaciii.2006.p0761

Subject(s) - computer science , pixel , artificial intelligence , computation , contouring , set (abstract data type) , computer vision , transformation (genetics) , feature (linguistics) , simple (philosophy) , image (mathematics) , pattern recognition (psychology) , computer graphics (images) , algorithm , biochemistry , chemistry , linguistics , philosophy , epistemology , gene , programming language

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.

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