Special Section on Smart Multimedia & Communication Systems
An Unsupervised Optimization of Structuring Elements for Noise Removal Using GA
2010 Volume E93.A Issue 11 Pages 2196-2199
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2010 Volume E93.A Issue 11 Pages 2196-2199
In this paper we propose an unsupervised method of optimizing structuring elements (SEs) used for impulse noise reduction in texture images through the opening operation which is one of the morphological operations. In this method, a genetic algorithm (GA), which can effectively search wide search spaces, is applied and the size of the shape of the SE is included in the design variables. Through experiments, it is shown that our new approach generally outperforms the conventional method.
