CLASSIFICATION OF BATIK LAMONGAN BASED ON FEATURES OF COLOR, TEXTURE AND SHAPE
DOI:
https://doi.org/10.28961/kursor.v9i1.114Keywords:
Classification, preprocessing, feature extraction.Abstract
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.
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References
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[3] Siqueira, F.R., Schwartz, W.R. and Pedrini, H, “Multi-Scale Gray Level Co- Occurrence Matrices for Texture Descriptionâ€, Neurocomputing, ISSN 0925-2312, Vol. 120, pp. 336-345, 2013.
[4] Mirzapour, F and Ghassemian, H, “Using GLCM and Gabor Filters for Classification of PAN Imagesâ€, IEEE, 2013.
[5] Ella, L.P Abeigne. Bergh, F.van den.Wyk, B.J. van, “A comparison of texture feature algorithms for urban settlements classificationâ€, IEEE, 2008.
[6] Nugroho, A.H., Widi, H., Angelique, A, and Stheffany, F, “Penggunaan Momen Invariant, Eccentricity, Dan Compactness Untuk Klasifikasi Motif Batik Dengan K- Nearest Neighbourâ€, INFORMATIKA Vol. 11, No. 2, November 2015.
[7] Kurniawardhani, A., Suciati, N,. and Arieshanti, I, “Klasifikasi Citra Batik Menggunakan Metode Ekstraksi Ciri Yang Invariant Terhadap Rotasiâ€, JUTI - Volume 12, Nomer 2, Juli 2014: 48 – 60. 2014.
[8] Rangkuti, A., Harjoko, A, and Putro, A.E, “Content Based Batik Image Retrievalâ€, Journal of Computer Science 10 (6): 925- 934, ISSN: 1549-3636, 2014.
[9] G, Ni Luh Wiwik Sri Rahayu, “Deteksi Batik Parang Menggunakan Fitur Co- Occurrence Matrix Dan Geometric Moment Invariant Dengan Klasifikasi KNNâ€, LONTAR KOMPUTER VOL. 7, NO.1, p-ISSN 2088-1541, e-ISSN 2541- 5832, APRIL 2016.
[10] Rangkuti, A., Rasjid Z., and Santoso, Z., “Batik image classification using treeval and treefit as decision tree function in optimizing content based batik image retrievalâ€, International Conference on Computer Science and Computational Intelligence (ICCSCI 2015).
[11] Wahyuningrum, R and Siradjuddin, I., “An Efficient Batik Image Retrieval System Based On Color And Texture Featuresâ€, Journal of Theoretical and Applied Information Technology. November 2015. Vol. 81. No. 2. ISSN: 1992-8645
[12] Patil, Jayamala K., and Kumar, Raj., “Analysis Of Content Based Image Retrieval For Plant Leaf Diseases Using Color, Shape And Texture Featuresâ€, Engineering in Agriculture, Environment and Food, 2016.
[13] Herdiyeni, Yeni, and Mayanda Mega Santoni, "Combination Of Morphological, Local Binary Pattern Variance And Color Moments Features For Indonesian Medicinal Plants Identification", Advanced Computer Science and Information Systems (ICACSIS), International Conference on. IEEE. 2012.
[14] Kodituwakku, S. R., And S. Selvarajah,"Comparison Of Color Features For Image Retrieval", Indian Journal of Computer Science and Engineering 1.3: 207-211, 2012.
[15] Martinez, W.L and Martinez, A.R,â€Computational Statistics Handbook With Matlab. Florida : CRC Press LLC, 2002.
[16] Jose M. Chaves-González, Miguel A. Vega RodrÃguez, Juan A. Gómez-Pulido,Juan M.Sánchez-Pérez, “Detecting Skin In Face Recognition Systems: A Colour Spaces Studyâ€, Digital Signal Processing 20: p 806-823. 2010.
[17] Patil, Jayamala K., and Kumar, Raj., “Feature Extraction & Retrieval Of Plant Leaf Diseases Using Image Histogramâ€, Int. J. Electron. Comput. 5 (2), 143-151, 2013a.
[18] Patil, Jayamala K., and Kumar, Raj, “Plant Leaf Disease Image Retrieval Using Color Momentsâ€, IAES Int. J. Artif. Intell. (IJ-AI) 2 (1), 36-42, 2013b.
[19] F. Albregtsen, “Statistical Texture Measures Computed from Gray Level Coocurrence Matricesâ€, Oslo, 2008.
[20] D. Gadkari, “Image Quality Analysis Using GLCMâ€, University Of Central Florida, Orlando, Florida, 2004.
[21] Gonzalez, R.C. and Woods, R.E., Digital Image Processing, Third Ed., Pearson Prentice Hall, New Jersey, 2008.
[22] Hu, M. K, “Pattern Recognition by Method of Moments. IRE Transactions of
Information Theoryâ€, 49, hal. 179-187. 1961.
[23] Gu, Qi and Song, Zhifei, “Image Classification Using SVM, KKN and Performance Comparison with Logistic Regressionâ€, Final project report on Departement of Computer Science, Dartmouth College, Hanover USA. 2009.
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