Bibliographic details

Expert Systems with Applications, 40(5), 1636-1644, 2013
DOI http://dx.doi.org/10.1016/j.eswa.2012.09.007


About the authors

Francesco Bianconi* is Assistant Professor in the Department of Industrial Engineering at the University of Perugia, Italy.
E-mail: bianco@ieee.org

Antonio Fernández is Senior Lecturer in the School of Industrial Engineering at the University of Vigo, Spain.
E-mail: antfdez@unipg.it

Elena González is Senior Lecturer in the School of Industrial Engineering at the University of Vigo, Spain.
E-mail: elena@uvigo.es

Stefano A. Saetta is Associate Professor in the Department of Industrial Engineering at the University of Perugia, Italy.
E-mail: stefano.saetta@unipg.it

*Corresponding author

Abstract

In this paper we consider the problem of colour-based sorting hardwood parquet slabs into lots of similar visualappearance. As a basis for the development of an expert system to perform this task, we experimentally investigate and compare the performance of various colour descriptors (i.e.: soft descriptors, percentiles, marginal histogramsand 3D histogram), and colour spaces (i.e.: RGB, HSV and CIE Lab). The results show that simple and compact colour descriptors, such as the mean of each colour channel, are as accurate as more complicated features. Likewise, we found no statistically significant difference in the accuracy attainable through the colour spaces considered in the paper. Our experiments also show that most methods are fast enough for real-time processing. The results suggest theuse of simple statistical descriptors along with RGB data as the best practice to approach the problem.




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