Paper:
Language: English:

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

Received: July 7, 2006

Accepted: July 11, 2006

Keywords: image contour detection, visual feature array, negative filtering

Journal ref: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.10, No.5 pp. 761-768, 2006

Abstract

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.

[Notice]
* "Preview" is the first 2 pages of the article. You don't need the registration.
* To read the PDF file you will then need to download and install the Adobe Reader.
Adobe Reader is free and available for download here: