Deteksi Dan Perhitungan Spermatozoa Manusia Menggunakan Single Gaussian Background Subtraction

Basoeki, Hario Baskoro (2016) Deteksi Dan Perhitungan Spermatozoa Manusia Menggunakan Single Gaussian Background Subtraction. Masters thesis, Institut Teknologi Sepuluh Nopember Surabaya.

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Abstract

Penelitian tentang penentuan tingkat infertilitas sperma terus dikembangkan. Tahap awal yang penting pada penelitian infertilitas sperma adalah pendeteksian objek sperma. Tingkat keberhasilan dalam memisahkan objek sperma dari cairan semen memiliki peran penting untuk proses analisa selanjutnya. Penelitian ini melalukan deteksi dan perhitungan spermatozoa manusia. Sperma yang terdeteksi adalah sperma yang bergerak pada data video. Untuk melakukan deteksi pada sperma yang bergerak, metode single gaussian background subtraction digunakan. Metode ini sesuai dalam kasus deteksi sperma karena data sperma yang digunakan cenderung uni-modal. Penelitian ini juga membandingkan metode background subtraction lainnya dalam melakukan deteksi sperma. Dari hasil pengujian yang dilakukan, metode single gaussian memiliki nilai f-measure sebesar 0.853 dan berhasil dalam mengekstraksi bentuk sperma mendekati bentuk aslinya dibandingkan dengan metode lainnya =============================================================================================Research about determining infertility rate of sperm is still being under constant development. First important phase on the sperm infertility observation is to detection of sperm object. Success rate of separate sperm with semen fluids has important role for further analytical measure. This research is on its ways to detect and count human's spermatozoa. Detected sperms are moving sperm that is moving on the video. To detect moving sperm, Single Gaussian background subtraction is used. This method fits for sperm detection because the sperm data used are tends to be in unimodal. This research also uses other methods of background subtraction as comparison. The examination result shows, Single Gaussian method has fmeasure value, 0.853 and successfully extracts the sperm shape fully better than other methods

Item Type: Thesis (Masters)
Additional Information: RTE 006.42 Bas d
Uncontrolled Keywords: deteksi sperma, background subtraction, men infertility test
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing--Digital techniques
Divisions: Faculty of Electrical Technology > Electrical Engineering > 20101-(S2) Master Thesis
Depositing User: EKO BUDI RAHARJO
Date Deposited: 02 Mar 2020 11:43
Last Modified: 02 Mar 2020 11:43
URI: http://repository.its.ac.id/id/eprint/75266

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