Basoeki, Hario Baskoro (2016) Deteksi Dan Perhitungan Spermatozoa Manusia Menggunakan Single Gaussian Background Subtraction. Masters thesis, Institut Teknologi Sepuluh Nopember Surabaya.
Preview |
Text
2214205014-Master_Thesis.pdf - Published Version Download (2MB) | Preview |
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 |
Actions (login required)
 |
View Item |