DETEKSI KHIMAR WANITA PADA CITRA WAJAH MENGGUNAKAN METODE GAUSSIAN MIXTURE MODEL
Abstract
Keywords
Full Text:
PDFReferences
R. Sihite, 2013, “Kekerasan Negara Terhadap Perempuan,” J. Kriminologi Indones. I Juli, vol. 3, no. I, pp. 33–42.
Klette, R., 2014, Concise Computer Vision 1st ed. London: Springer-Verlag London.
Tim Morris, 2004, Computer Vision and Image Processing. Britania: Palgrave Macmillan.
Sonka, M., Hlavac, V., dan R. Boyle, 2008, Image Processing, Analysis, and Machine Vision. Boston: Spinger.
Forsyth, D. A. dan Ponce, J., 2003, Computer Vision, A Modern Approach. New Jersey: Prentice Hall International.
Alzubaydi, D. A. dan Yousif, S. A., 2014, “Face Clip Detection System Using HSV Color Model”, Int. J. Innov. Res. Adv. Eng., vol. 1, no. 11.
Bhat. S. Vandana dan Pujari, J. D., 2013 “Face Detection System Using HSV Color Model and Morphing Operations”, Int. J. Curr. Eng. Technol.
Saikia, P., Janam, G., dan Kathing, M.,2012, “Face Dection using Skin Colour Model and distance between Eyes”, Int. J. Comput. Commun. Netw., vol. 1 No.3, 2012.
Viola, P. dan Jones, M. J., 2004, “Robust Real-Time Face Detection”, Int. J. Comput. Vis., vol. 57, no. 2, pp. 137–154.
Randive, H. B. Mali, dan Lokhande, S. D., 2012, “Hand Gesture Segmentation”, Int. J. Comput. Technol. Electron. Eng., vol. 2, no. 3.
Duong, L., Cheriet, F., dan Labelle, H., 2010, “Automatic detection of scoliotic curves in posteroanterior radiographs”, IEEE Trans. Biomed. Eng., vol. 57, no. 5, pp. 1143–51.
Zhang, Q., Zhang, J. Lu, M, Duan, H., dan Lai, F., 2015, “Hand Gesture Segmentation Based on Mixed Skin-Color Model and FCM Algorithm”, J. Inf. Comput. Sci., vol. 12, no. 9, 2015.
Dongare, Y. B. dan Patole, R., 2015, “Skin Color Detection And Background Subtraction Fusion For Hand Gesture Segmentation”, Int. J. Eng. Res. Gen. Sci., vol. 3, no. 4.
Mehdi, H. dan Mureed, H., 2013, “A survey of image steganography techniques”, Int. J. Adv. Sci. Technol., vol. 54, no. 3, pp. 113–124.
Hussain, S. A. K., 2015, “Human Face Detection with skin color properties”, Int. J. Sci. Eng. Res., vol. 6, no. 6.
Chaudhari, M. dan Vanjare, G., 2015, “A review on Face Detection and study of Viola Jones method”, International Journal of Computer Trends and Technology, vol. 25, no. 1, pp. 54–61.
Yang, M. dan Ahuja, N., 1998, “Gaussian Mixture Model for Human Skin Color and Its Applications in Image and Video Databases”, Proc. SPIE 3656, Storage and Retrieval for Image and Video Databases VII, p. 458.
Zhang, J., Hong, X., Guan, S., Zhao, X., Huang, X., dan Xue, N., 2016, “Maximum Gaussian Mixture Model for Classification”, International Conference on Information Technology in Medicine and Education, p. 587.
Yacoob, Y. dan Davis, L. S., 2006, “Detection and Analysis of Hair”, IEEE Trans. Patterng Anal. Mach. Intell., vol. 28 No.7.
Shen, Y., Peng, Z., dan Zhang, Y., 2015, “Image Based Hair Segmentation Algorithm for the Application of Automatic Facial Caricature Synthesis”, Sci. World J., vol. 2014.
Putro, M. D., Adji, T. B., dan Winduratna, B., 2012, “Sistem Deteksi Wajah dengan Menggunakan Metode Viola-Jones”, Science, Engineering and Technology (SciETec).
Wang, J., Ying, Y., Guo, Y., dan Peng, Q., 2006, “Automatic Foreground Extraction of Head Shoulder Images”, Computer Graphics International Conference, pp. 385–396.
Janouˇ, J., Gajdoˇ, P., dan Radeck, M., 2015, “Gaussian Mixture Model Cluster Forest”, International Conference on Machine Learning and Applications, pp. 1019–1023.
Bl, J. dan Bujna, K., 2016,“Simple Methods for Initializing the EM Algorithm for Gaussian Mixture
DOI: https://doi.org/10.30873/ji.v19i1.1209
Jurnal Informatika is abstracting and indexing in the following databases:
JURNAL INFORMATIKA
Dikelola Oleh: Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM)
Diterbitkan Oleh: Institut Informatika dan Bisnis Darmajaya
Alamat: Jl. Z.A. Pagar Alam No. 93 Gedong Meneng, Bandar Lampung Lampung
Website: jurnal.darmajaya.ac.id
Email: lp4mjurin@gmail.com
Jurnal Informatika is licensed under a Creative Commons Attribution 4.0 International License.