IMPLEMENTASI EKSTRAKSI FITUR TEKSTUR GRAY LEVEL CO-OCCURRENCE MATRICES (GLCM) UNTUK PENGELOMPOKAN CITRA TENUN MENGGUNAKAN ALGORITMA K-MEANS - UDiNus Repository
149
DAFTAR PUSTAKA
[1] Jumena, Nian S., “Lurik: garis-garis bertuah,” Lurik: The Magic Stripes. Jakarta:
Djambatan, 2000.
[2] A. Yudhoyono, “Tenunku,” Warna-Warna Benang Kearifan Nusantara. Jakarta:
PT. Gramedia Pustaka Utama, 2012.
[3] A.A. Kasim dan A. Harjoko, “Klasifikasi Citra Batik Menggunakan Jaringan Syaraf
Tiruan Berdasarkan Gray Level Co-Occurrence Matrices (GLCM),”Seminar
Nasional Aplikasi Teknologi Informasi (SNATI), Yogyakarta, 21 Juni 2014.
[4] N. Zulpe dan V. Pawar, “GLCM Textural Features for Brain Tumor
Classification,” IJCSI International Journal of Computer Science, vol 9, no. 3, pp.
6, 2012.
[5] A. A. Pratama, N. Suciati dan D. Purwitasari, “Implementasi Fuzzy C-Means Untuk
Pengelompokan Citra Batik Berdasarkan Motif Dengan Fitur Tekstur,” Jurnal
TEKNIK POMITS, vol. 1, no. 1, pp. 1-4, 2012.
[6] C.V. Angkoso, “Pengenalan Jender Berbasis Tekstur Pada Citra Wajah Foto
Digital,” Jurnal Konferensi Nasional Inovasi dalam Desain dan Teknologi,
Universitas Trunojoyo Madura, IDeaTech 2011.
[7] R. Bremananth, B. Nithya, R. Saipriya, “ Wood Species Recognition Using GLCM
and Correlation,” Advances in Recent Technologies in Cummunication And
Computing. P. 5, 2009.
[8] R. Listia, A. Harjoko, “Klasifikasi Massa pada Citra Mammogram Berdasarkan
Gray Level Cooccurence Matrix (GLCM),” IJCCS International Journal of
Computer Science, vol.8, No.1, pp. 59-68, 2014.
[9] H. Jusuf, “Pendar-Pendar Kilau Pelangi”, wastra Adati dari Selatan Sumatera.
Jakarta: PT. Livimbi Media, Februari 2012.
[10] A. Kadir and A. Susanto, Pengolahan Citra Teori dan Aplikasi, Yogyakarta, 2012.
[11] Z. Budiarto, "Identifikasi Macan Tutul Dengan Metode Grey Level Coocurent
Matrix (GLCM)," Univesitas Stikubank, Semarang.
[12] B. S. V, A. Unnikrishnan and K. Balakrishnan, "Grey Level Co-Occurrence
Matrices:Generalisation And Some New Features," International Journal of
Computer Science, Engineering and Information Technology (IJCSEIT), vol. 2, no.
2, April 2012.
150
[13] P. Maheshwary and N. Sricastava, "Prototype System for Retrieval of Remote
Sensing Images based on Color Moment and Gray Level Co-Occurrence Matrix,"
IJCSI International Journal of Computer Science Issues,, vol. 3, pp. 20-23, 2009.
[14] S. K and M. L, "An Efficient Image Retrieval Based on Color, Texture (GLCM &
CCM) features, and Genetic-Algorithm," International Journal Of Merging
TechnologyAnd Advanced Research In Computing, pp. 1-9.
[15] R. B and K. R. Chandran, "Content Based Medical Image Retrieval with Texture
Content Using Gray Level Co-occurence Matrix and K-Means Clustering
Algorithm," Journal of Computer Science, vol. 8, no. 7, pp. 1070-1076, 2012.
[16] F. Albregtsen, "Statistical Texture Measures Computed from Gray Level
Coocurrence Matrices," Image Processing Laboratory Department of Informatics
University of Oslo, pp. 1-14, 5 November 2008.
[17] E. K. Ratnasari, R. H. Ginardi and C. Fatichah, "Pengenalan Penyakit Noda Pada
Citra DaunTebu Berdasarkan Ciri Tekstur Fractal Dimension Co-Occurrence
Matrix Dan L*a*b* Color Moments," JUTI, vol. 12, no. 2, pp. 27-36, Juli 2014.
[18] M.-W. Lin, J.-R. Tapamo and B. Ndovie, "A Texture-based Method for Document
Segmentation and Classification," ARIMA/SACJ, no. 36, pp. 49- 56, 2006.
[19] B. K. C. Ramamurthy, “Content Based Medical Image Retrieval with Texture
Content Using Gray Level Co-occurence Matrix and K-Means Clustering
Algorithm,” Journal of Computer Science, vol. 8, no. 7, pp. 1070-1076, 2012.
[20] Widiarina dan R. S. Wahono, “Algoritma Cluster Dinamik untuk Optimasi Cluster
pada Algoritma K-Means dalam Pemetaan Nasabah Potensial,” Journal of
Intelligent Systems, vol. 1, no. 1, pp. 32-35, Februari 2015.
[21] R. Handoyo, R. R. M dan S. M. Nasution, “Perbandingan Metode Clustering
Menggunakan Metode Single Linkage dan K-Means pada Pengelompokan
dokumen,” JSM STMIK Mikrosil, vol. 15, no. 2, pp. 73-82, Oktober 2015.
[22] Sundar.C, M. ChitraDevi dan G. Geetharamani, “An Analisys on The Perfomance
of K-Means Clustering Algorithm For Cardiotocogram Data Cluster,” International
Journal on Computational Sciences & Apllications, vol. 2, no. 5, pp. 11-20,
Oktober 2012.
[23] T. Khotimah, “Pengelompokan Surat Dalam Al Qur'an Menggunakan Algoritma KMeans,” Jurnal SIMETRIS, vol. 5, no. 1, pp. 83-88, April 2014.
[24] J. O. Ong, “Implementasi Algoritma K-Means Clustering Untuk Menentukan
Strategi Marketing President University,” Jurnal Ilmiah Teknik Industri, vol. 12,
151
no. 1, pp. 10-20, Juni 2013.
[25] M. H. Noor dan M. Hariadi, “Image Cluster Berdasarkan Warna Untuk Identifikasi
Kematangan Buah Tomat Dengan Metode Valley Tracing,” Seminar Nasional
Informatika, pp. 15-24, 23 Mei 2009.
[26] E. Prasetyo, Data Mining Mengolah Data Menjadi Informasi Menggunakan Matlab,
Yogyakarta: Andi, September 2014.
[27] K. R. Prilianti dan H. Wijaya, “Aplikasi Text Mining untuk Automasi Penentuan
Tren Topik Skripsi dengan Metode K-Means Clustering,” Jurnal Cybermatika, vol.
2, no. 1, Juni 2014.
[28] T.Sutoyo, E. Mulyanto, D. V. Suhartono, O. D. Nurhayati and Wijanarto, Teori
Pengolahan Citra Digital, Yogyakarta: Andi, 2009.
[29] M. H. Purnomo and A. Muntasa, Konsep Pengolahan Citra Digital dan Ekstraksi
Fitur, Yogyakarta: Graha Ilmu, 2010.
[30] A. Purnomo and S. S. M. Sulistyo Puspitodjati, "Aplikasi Pemrograman C# Untuk
Analisis Tektur Kayu Parquet Dengan Menggunakan Metode Grey Level Cooccurrence Matrix (GLCM)," in Fakultas Teknik Industri Universitas Gunadarma,
Depok, 2009.
[31] N. M. Zahab, " Analisis Tekstur Parket Kayu Jati Dengan Menggunakan Metode
Statistikal GRAY LEVEL DIFFERENCE METHOD," Skripsi, Teknik Informatika,
FTI Universitas Gunadarma, Depok, 2014.
[32] Widiarina dan S.W. Romi," Algoritma Cluster Dinamik untuk Optimasi Cluster
pada Algoritma K-Means dalam Pemetaan Nasabah Potensial," Journal of
Intelligent Systems, vol. 1, no.1, February 2015.
DAFTAR PUSTAKA
[1] Jumena, Nian S., “Lurik: garis-garis bertuah,” Lurik: The Magic Stripes. Jakarta:
Djambatan, 2000.
[2] A. Yudhoyono, “Tenunku,” Warna-Warna Benang Kearifan Nusantara. Jakarta:
PT. Gramedia Pustaka Utama, 2012.
[3] A.A. Kasim dan A. Harjoko, “Klasifikasi Citra Batik Menggunakan Jaringan Syaraf
Tiruan Berdasarkan Gray Level Co-Occurrence Matrices (GLCM),”Seminar
Nasional Aplikasi Teknologi Informasi (SNATI), Yogyakarta, 21 Juni 2014.
[4] N. Zulpe dan V. Pawar, “GLCM Textural Features for Brain Tumor
Classification,” IJCSI International Journal of Computer Science, vol 9, no. 3, pp.
6, 2012.
[5] A. A. Pratama, N. Suciati dan D. Purwitasari, “Implementasi Fuzzy C-Means Untuk
Pengelompokan Citra Batik Berdasarkan Motif Dengan Fitur Tekstur,” Jurnal
TEKNIK POMITS, vol. 1, no. 1, pp. 1-4, 2012.
[6] C.V. Angkoso, “Pengenalan Jender Berbasis Tekstur Pada Citra Wajah Foto
Digital,” Jurnal Konferensi Nasional Inovasi dalam Desain dan Teknologi,
Universitas Trunojoyo Madura, IDeaTech 2011.
[7] R. Bremananth, B. Nithya, R. Saipriya, “ Wood Species Recognition Using GLCM
and Correlation,” Advances in Recent Technologies in Cummunication And
Computing. P. 5, 2009.
[8] R. Listia, A. Harjoko, “Klasifikasi Massa pada Citra Mammogram Berdasarkan
Gray Level Cooccurence Matrix (GLCM),” IJCCS International Journal of
Computer Science, vol.8, No.1, pp. 59-68, 2014.
[9] H. Jusuf, “Pendar-Pendar Kilau Pelangi”, wastra Adati dari Selatan Sumatera.
Jakarta: PT. Livimbi Media, Februari 2012.
[10] A. Kadir and A. Susanto, Pengolahan Citra Teori dan Aplikasi, Yogyakarta, 2012.
[11] Z. Budiarto, "Identifikasi Macan Tutul Dengan Metode Grey Level Coocurent
Matrix (GLCM)," Univesitas Stikubank, Semarang.
[12] B. S. V, A. Unnikrishnan and K. Balakrishnan, "Grey Level Co-Occurrence
Matrices:Generalisation And Some New Features," International Journal of
Computer Science, Engineering and Information Technology (IJCSEIT), vol. 2, no.
2, April 2012.
150
[13] P. Maheshwary and N. Sricastava, "Prototype System for Retrieval of Remote
Sensing Images based on Color Moment and Gray Level Co-Occurrence Matrix,"
IJCSI International Journal of Computer Science Issues,, vol. 3, pp. 20-23, 2009.
[14] S. K and M. L, "An Efficient Image Retrieval Based on Color, Texture (GLCM &
CCM) features, and Genetic-Algorithm," International Journal Of Merging
TechnologyAnd Advanced Research In Computing, pp. 1-9.
[15] R. B and K. R. Chandran, "Content Based Medical Image Retrieval with Texture
Content Using Gray Level Co-occurence Matrix and K-Means Clustering
Algorithm," Journal of Computer Science, vol. 8, no. 7, pp. 1070-1076, 2012.
[16] F. Albregtsen, "Statistical Texture Measures Computed from Gray Level
Coocurrence Matrices," Image Processing Laboratory Department of Informatics
University of Oslo, pp. 1-14, 5 November 2008.
[17] E. K. Ratnasari, R. H. Ginardi and C. Fatichah, "Pengenalan Penyakit Noda Pada
Citra DaunTebu Berdasarkan Ciri Tekstur Fractal Dimension Co-Occurrence
Matrix Dan L*a*b* Color Moments," JUTI, vol. 12, no. 2, pp. 27-36, Juli 2014.
[18] M.-W. Lin, J.-R. Tapamo and B. Ndovie, "A Texture-based Method for Document
Segmentation and Classification," ARIMA/SACJ, no. 36, pp. 49- 56, 2006.
[19] B. K. C. Ramamurthy, “Content Based Medical Image Retrieval with Texture
Content Using Gray Level Co-occurence Matrix and K-Means Clustering
Algorithm,” Journal of Computer Science, vol. 8, no. 7, pp. 1070-1076, 2012.
[20] Widiarina dan R. S. Wahono, “Algoritma Cluster Dinamik untuk Optimasi Cluster
pada Algoritma K-Means dalam Pemetaan Nasabah Potensial,” Journal of
Intelligent Systems, vol. 1, no. 1, pp. 32-35, Februari 2015.
[21] R. Handoyo, R. R. M dan S. M. Nasution, “Perbandingan Metode Clustering
Menggunakan Metode Single Linkage dan K-Means pada Pengelompokan
dokumen,” JSM STMIK Mikrosil, vol. 15, no. 2, pp. 73-82, Oktober 2015.
[22] Sundar.C, M. ChitraDevi dan G. Geetharamani, “An Analisys on The Perfomance
of K-Means Clustering Algorithm For Cardiotocogram Data Cluster,” International
Journal on Computational Sciences & Apllications, vol. 2, no. 5, pp. 11-20,
Oktober 2012.
[23] T. Khotimah, “Pengelompokan Surat Dalam Al Qur'an Menggunakan Algoritma KMeans,” Jurnal SIMETRIS, vol. 5, no. 1, pp. 83-88, April 2014.
[24] J. O. Ong, “Implementasi Algoritma K-Means Clustering Untuk Menentukan
Strategi Marketing President University,” Jurnal Ilmiah Teknik Industri, vol. 12,
151
no. 1, pp. 10-20, Juni 2013.
[25] M. H. Noor dan M. Hariadi, “Image Cluster Berdasarkan Warna Untuk Identifikasi
Kematangan Buah Tomat Dengan Metode Valley Tracing,” Seminar Nasional
Informatika, pp. 15-24, 23 Mei 2009.
[26] E. Prasetyo, Data Mining Mengolah Data Menjadi Informasi Menggunakan Matlab,
Yogyakarta: Andi, September 2014.
[27] K. R. Prilianti dan H. Wijaya, “Aplikasi Text Mining untuk Automasi Penentuan
Tren Topik Skripsi dengan Metode K-Means Clustering,” Jurnal Cybermatika, vol.
2, no. 1, Juni 2014.
[28] T.Sutoyo, E. Mulyanto, D. V. Suhartono, O. D. Nurhayati and Wijanarto, Teori
Pengolahan Citra Digital, Yogyakarta: Andi, 2009.
[29] M. H. Purnomo and A. Muntasa, Konsep Pengolahan Citra Digital dan Ekstraksi
Fitur, Yogyakarta: Graha Ilmu, 2010.
[30] A. Purnomo and S. S. M. Sulistyo Puspitodjati, "Aplikasi Pemrograman C# Untuk
Analisis Tektur Kayu Parquet Dengan Menggunakan Metode Grey Level Cooccurrence Matrix (GLCM)," in Fakultas Teknik Industri Universitas Gunadarma,
Depok, 2009.
[31] N. M. Zahab, " Analisis Tekstur Parket Kayu Jati Dengan Menggunakan Metode
Statistikal GRAY LEVEL DIFFERENCE METHOD," Skripsi, Teknik Informatika,
FTI Universitas Gunadarma, Depok, 2014.
[32] Widiarina dan S.W. Romi," Algoritma Cluster Dinamik untuk Optimasi Cluster
pada Algoritma K-Means dalam Pemetaan Nasabah Potensial," Journal of
Intelligent Systems, vol. 1, no.1, February 2015.