Modified Background Subtraction Statistic Models for Improvement Detection and Counting of Active Spermatozoa Motility

  • I Gede Susrama Masdiyasa Institut Teknologi Sepuluh November Surabaya
  • I D. G. Hari Wisana Departement of Informatics, Universitas of Pembangunan Nasional Veteran East Java
  • I K. Eddy Purnama Department of Electromedic Engineering, Politeknik Kesehatan Surabaya
  • M. Hery Purnomo Department of Computer Engineering, Institut Teknologi Sepuluh Nopember Surabaya
##plugins.pubIds.doi.readerDisplayName## https://doi.org/10.24843/LKJITI.2018.v09.i01.p04

Abstrak

 

##plugins.generic.usageStats.downloads##

##plugins.generic.usageStats.noStats##

Referensi

[1] World Health Organization, WHO laboratory manual for the examination of human semen, Fifth Edition, Cambridge University Press, 2010.
[2] P. Hidayatullah and M. Zuhdi, “Automatic Sperms Counting using Adaptive Local Threshold and Ellipse Detection,” in proceeding International Conference on Informat Technology Systems and Innovation (ICITSI)-IEEE, 2014, pp. 56–61 

[3] M.Y. Khachane, R.J. Ramteke, and R.R Manza, “Fuzzy Rule Based Classification of Human Spermatozoa”, in proceeding International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015, pp. 1-5.
[4] I. G. Susrama, I. K. Eddy Purnama and M. H. Purnomo, “Teratozoospermia Classifi- cation Based on the Sperm Head Using Otsu Threshold and Decision Tree,” Journal Matec Web Of Conferences 58, 2016, pp.03012–03019. 

[5] Q. Li, X. Chen, H. Zhang, L. Yin, S. Chen, T. Wang, S. Lin, X. Liu, X. Zhang, and R. Zhang, “Automatic human spermatozoa detection in microscopic video streams based on OpenCV,” 5th International Conference on Biomedical Engineering and Informatics (BMEI), 2012, pp. 224- 227. 

[6] A. Nurhadiyatna, A. L. Latifah, D. Fryantoni, T. Wirahman, R. Wijayanti, dan F. H. Muttaqien, “Comparison and Implementation of Motion Detection Methods for Sperm Detection and Tracking”, International Symposium on Micro-Nano Mechatronics and Human Science (MHS), 2014, pp. 1-5.
[7] Y. Imani, N. Teyfouri, M. R. Ahmadzadeh and M. Golabbakhsh, “A New Method for Multiple Sperm Cells Tracking”, Journal of Medical and Signals Sensors, Vol. 4, No.1, pp. 35–42, 2014. 

[8] I. G. A. Socrates, L.A. Afrizal, A. M. Sonhaji, “Optimasi Naïve Bayes Dengan Pemilihan Fitur Dan Pembobotan Gain Ratio”, Lontar Komputer: Jurnal Ilmiah Teknologi Informasi, Vol. 7, No. 1, pp. 22-30, 2016. .
[9] N. L. W Sri Rahayu, “Deteksi Batik Parang Menggunakan Fitur Co-Occurrence Matrix Dan Geometric Moment Invariant Dengan Klasifikasi KNN”, Lontar Komputer: Jurnal Ilmiah Teknologi Informasi, Vol. 7, No. 1, pp. 22-30, 2016.
[10] A. Sobral, A. Vacavant, “A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos”, Journal Computer Vision and Image Understanding, Vol. 122, May 2014, pp. 4–21, 2014.
[11] J. Vaněk, L. Machlica, J. Psutka, “Estimation of Single-Gaussian and Gaussian Mixture Models for Pattern Recognition”, 18th Iberoamerican Congress, Proceedings CIARP, Havana, Cuba, Vol. 8258, pp. 49-56, 2013.
[12] A. Elgammal, D. Harwood, L. Davis, “Non-parametric Model for Background Subtraction”, 6th European Conference on Computer Vision, Dublin, Vol. 1843, pp. 751-767, 2000.
[13] Y. Benezeth, P-M. Jodoin, B. Emile, H. Laurent, C. Rosenberger, “Comparative study of background subtraction algorithms”, Journal of Electronic Imaging, Vol. 19, No. 3, pp. 1-31, 2010.
Diterbitkan
2018-05-01
##submission.howToCite##
MASDIYASA, I Gede Susrama et al. Modified Background Subtraction Statistic Models for Improvement Detection and Counting of Active Spermatozoa Motility. Lontar Komputer : Jurnal Ilmiah Teknologi Informasi, [S.l.], p. 28-39, may 2018. ISSN 2541-5832. Tersedia pada: <https://ojs.unud.ac.id/index.php/lontar/article/view/38136>. Tanggal Akses: 15 oct. 2025 doi: https://doi.org/10.24843/LKJITI.2018.v09.i01.p04.
Bagian
Articles

##plugins.generic.recommendByAuthor.heading##