Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2524
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dc.contributor.authorSenarathna, B. P. H. K. M. D-
dc.contributor.authorRajakaruna, R. M. T. P-
dc.date.accessioned2022-05-30T09:30:48Z-
dc.date.available2022-05-30T09:30:48Z-
dc.date.issued2021-08-11-
dc.identifier.citationB. P. H. K. M. D. Senarathna and R. M. T. P. Rajakaruna, "Feature Descriptor for Sri Lankan Batik Patterns Using Hu Moment Invariants and GLCM," 2021 10th International Conference on Information and Automation for Sustainability (ICIAfS), 2021, pp. 197-202, doi: 10.1109/ICIAfS52090.2021.9606106.en_US
dc.identifier.issn2151-1810-
dc.identifier.urihttp://rda.sliit.lk/handle/123456789/2524-
dc.description.abstractBatik is a traditional craft of designing patterned fabrics which hold high artistic value in Sri Lankan culture, where hand-painted wax patterns are coloured using specialist dyeing methods to create the finished product. This paper presents a study of vision-based feature extraction of Batik images considering colour, texture and shape features to develop a comprehensive feature descriptor of Batik motifs. Wax drawn patterns are identified from the digital images of Batik motifs to retrieve an outline of patterns demarcating the different coloured layers generated by multiple stages of dyeing. Motifs with repetitive patterns are identified using the Local Binary Pattern (LBP) as a texture feature vector. Both RGB and L*a*b* colour schemes are studied in the representation of Batik motifs. The colour description is presented using Mini Batch K-Means which out-performed the widely used K-Means clustering method. Hu Moment Invariants are used for shape feature extraction, and Gray Level Co-occurrence Matrix (GLCM) for texture feature extraction. A comprehensive feature descriptor is developed to represent Batik designs, which could be used to recommend similar designs based on the shape and texture features of query images presented by the user.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofseries2021 10th International Conference on Information and Automation for Sustainability (ICIAfS);Pages 197-202-
dc.subjectFeature Descriptoren_US
dc.subjectSri Lankan Batik Patternsen_US
dc.subjectHu Momenten_US
dc.subjectInvariantsen_US
dc.subjectGLCMen_US
dc.titleFeature Descriptor for Sri Lankan Batik Patterns Using Hu Moment Invariants and GLCMen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICIAfS52090.2021.9606106en_US
Appears in Collections:Research Papers - Department of Mechanical Engineering

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