KLASIFIKASI CITRA TEKSTUR KAYU MENGGUNAKAN GRAY LEVEL CO-OCCURANCE MATRIX DAN LOCAL BINARY PATTERN
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Ahmad Fariz Hasan, dkk. 2013. Application of Binary Particle Swarm Optimization in Automatic Classification of Wood Species using Gray Level CoOccurence Matrix and K-Nearest Neighbor. Global Conference for Academic Research on Scientific and Emerging Technologies (GCARSET)
Albregtsen, F., 2008. Statistical Texture Measures Computed from Gray Level Coocurrence Matrices.Image Processing Laboratory.Department of
Informatics.University of Oslo.
Faisal Nur Achsani, dkk. Deteksi Adanya Cacat Pada Kayu Menggunakan Metode Local Binary Pattern. Universitas Telkom
Febrianto,Y. 2012. Pengklasifikasian Kualitas Keramik Berdasarkan Ekstraksi Fitur Tekstur Statistik. Jurusan Teknik Informatika Fakultas Teknologi
Industri.Universitas Gunadarma.
Prasetyo, Eko.2011. Pengolahan Citra Digital dan Aplikasinya Menggunakan Matlab. Yogyakarta, ANDI
Putra, Darma. 2010. Pengolahan Citra Digital. Andi
Rafael C. Gonzalez; Richard E. Woods. 2002. Digital Image Processing. second edition.
Robert M Haralick; K.Shanmugan. 1973. It’shak Dinstein.Textural Features for Image Classification. IEEE Transaction On System, Man And Cybernetics.
Shervan Fekri Ershad. 2011. Texture Classification Approach Based on Combination of Edge & Co-occurrence and Local Binary Pattern. Int'l Conf. IP,
Comp. Vision, and Pattern Recognition (IPCV).
Sutoyo, T. dkk.2009. Teori Pengolahan Citra Digital. Yogyakarta. Andi
Timo Ojala, Matti Pietikäinen and Topi Mäenpää. Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns. Infotech Oulu.
University of Oulu Finland.
DOI: http://dx.doi.org/10.26798/jiko.v6i1.557
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