Name
Abstract | ||
|---|---|---|
In this paper we consider the problem of colour-based sorting hardwood parquet slabs into lots of similar visual appearance. 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 histograms and 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 the use of simple statistical descriptors along with RGB data as the best practice to approach the problem. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.eswa.2012.09.007 | Expert Syst. Appl. |
Keywords | Field | DocType |
performance analysis,colour space,soft descriptors,various colour descriptors,rgb data,colour channel,simple statistical descriptors,cie lab,complicated feature,best practice,compact colour descriptors,grading,wood,sorting | Histogram,HSL and HSV,Computer vision,Computer science,Sorting,RGB color model,Artificial intelligence,Visual appearance | Journal |
Volume | Issue | ISSN |
40 | 5 | 0957-4174 |
Citations | PageRank | References |
4 | 0.39 | 27 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francesco Bianconi | 1 | 311 | 18.11 |
| Antonio Fernández | 2 | 801 | 49.47 |
| Elena GonzáLez | 3 | 50 | 2.61 |
| Stefano A. Saetta | 4 | 31 | 1.79 |