CLASSIFICATION OF BATIK LAMONGAN BASED ON FEATURES OF COLOR, TEXTURE AND SHAPE
| Autor: | Miftahus Sholihin, Siti Mujilahwati, Retno Wardhani |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | Jurnal Ilmiah Kursor: Menuju Solusi Teknologi Informasi, Vol 9, Iss 1 (2017) |
| Druh dokumentu: | article |
| ISSN: | 0216-0544 2301-6914 |
| DOI: | 10.28961/kursor.v9i1.114 |
| Popis: | Classification aims to classify object into specific classes based on the value of the attribute associated with the object being observed. In this research designed a system that serves to classify Lamongan batik cloth based on color features using color moment, texture using Gray Level Co-occurence Matrix (GLCM), and shape using moment invariant, classification using K-Nearest Neighbors (K-NN) method. In outline the system was built consists of three main processes namely pre-processing, feature extraction, and classification. The highest accuracy rate in this study was 90.4% when the value of k = 6. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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