Pregled bibliografske jedinice broj: 839509
Semi-automatic Prototype System for Bacterial Colony Counting
Semi-automatic Prototype System for Bacterial Colony Counting // PROCEEDINGS OF 2016 International Conference on Smart Systems and Technologies (SST) / Drago Žagar, Goran Martinović, Snježana Rimac Drlje (ur.).
Osijek: Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2016. str. 205-210 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Semi-automatic Prototype System for Bacterial Colony Counting
Autori
Matić, Tomislav ; Vidović, Ivan ; Silađi, Emil ; Tkalec, Filip
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
PROCEEDINGS OF 2016 International Conference on Smart Systems and Technologies (SST)
/ Drago Žagar, Goran Martinović, Snježana Rimac Drlje - Osijek : Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2016, 205-210
ISBN
978-1-5090-3718-6
Skup
2016 International Conference on Smart Systems and Technologies (SST 2016)
Mjesto i datum
Osijek, Hrvatska, 12.10.2016. - 14.10.2016
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Bacterial colony counting; Hough transform; image processing; semi-automatic prototype
Sažetak
Bacterial colony forming unit (CFU) counting is a tedious task mostly done by humans. Procedure is error prone, time-consuming and laborious. In this paper we present a semi-automatic prototype system for CFU counting. The developed prototype consist of a hardware (area scan camera with LED light source) and C#-based desktop application. The application enables manual, semi-automatic and automatic CFU counting. Automatic CFU counting is based on Hough transform for circles. Obtained results can be user-corrected for better accuracy. In the experimental analysis, the developed application is evaluated on the synthetic CFU images. The results include time and counting performance measurements compared with the manual count. The results show that semi-automatic counting procedure can save on average 45% of counting time compared to manual count with the same counting accuracy. The automatic CFU counting on average has precision of 97% and recall of 82%.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek