An Improved Approach of Color Edge Detection Based on Robustness of Cell Neural Network

Qing Ling Jiang

doi:10.4028/www.scientific.net/AMR.403-408.1879

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408An Improved Approach of Color Edge Detection Based...

An Improved Approach of Color Edge Detection Based on Robustness of Cell Neural Network

Abstract:

For the disadvantage of cell neural network (CNN) method which can not directly deal with color images, we present a new color image edge detection algorithm according to CNN model. Through robustness analysis for CNN template, a CNN theorem be carried out which can compute in the RGB color space. The experimental results show that our approach can effectively carry out edge extraction and locates accurately.

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Periodical:

Advanced Materials Research (Volumes 403-408)

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1879-1882

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https://doi.org/10.4028/www.scientific.net/AMR.403-408.1879

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Online since:

November 2011

Authors:

Qing Ling Jiang

Keywords:

Cellular Neural Network (CNN), Edge Detection, Robustness, Template Design

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