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- Title
TEXTURAL FEATURES BASED ON RUN LENGTH ENCODING IN THE CLASSIFICATION OF FURNITURE SURFACES WITH THE ORANGE SKIN DEFECT.
- Authors
Pach, Jakub; Chmielewski, Leszek J.; Orłowski, Arkadiusz; Kruk, Michał; Kurek, Jarosław; Świderski, Bartosz; Antoniuk, Izabella; Wieczorek, Grzegorz; Śmietańska, Katarzyna; Górski, Jarosław
- Abstract
Textural features based upon thresholding and run length encoding have been success- fully applied to the problem of classification of the quality of lacquered surfaces in furniture exhibiting the surface defect known as orange skin. The set of features for one surface patch consists of 12 real numbers. The classifier used was the one nearest neighbour classifier without feature selection. The clas- sification quality was tested on 808 images 300 by 300 pixels, made under controlled, close-to-tangential lighting, with three classes: good, acceptable and bad, in close to balanced numbers. The classification accuracy was not smaller than 98% when the tested surface was not rotated with respect to the training samples, 97% for rotations up to 20 degrees and 95:5% in the worst case for arbitrary rotations.
- Subjects
FEATURE extraction; RUN-length encoding; ORANGE peel; NEAREST neighbor analysis (Statistics); IMAGE segmentation
- Publication
Machine Graphics & Vision, 2019, Vol 28, Issue 1-4, p35
- ISSN
1230-0535
- Publication type
Article
- DOI
10.22630/mgv.2019.28.1.4