Optimization of weighted vector directional filters using an interactive evolutionary algorithm

Authors:
Joseph James Mist;Stuart James Gibson
Affiliations:
University of Kent, Canterbury, United Kingdom;University of Kent, Canterbury, United Kingdom
Venue:
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Year:
2013

Citing 4
Cited 0

Introduction to Evolutionary Computing

Introduction to Evolutionary Computing
Interactive evolution of XUL user interfaces

Proceedings of the 9th annual conference on Genetic and evolutionary computation
EFIT-V -: interactive evolutionary strategy for the construction of photo-realistic facial composites

Proceedings of the 10th annual conference on Genetic and evolutionary computation
On interactive evolution strategies

EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Weighted vector directional filters are used to enhance multichannel image data and have attracted a lot of interest from researchers in the image processing community. This paper describes a novel method for deriving the weights of a vector directional filter that uses an interactive evolution strategy. We performed an empirical study in which 30 participants each developed two filters using our approach. Each participant compared the performance of his/her filters to the basic vector directional filter and a filter that had previously been developed using a genetic algorithm. Of the filters studied, our interactive approach was the most effective at removing salt and pepper noise for the case when the percentage of corrupt image pixels was low.