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Semi-automatic Prototype System for Bacterial Colony Counting


Matić, Tomislav; Vidović, Ivan; Silađi, Emil; Tkalec, Filip
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: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2016. str. 205-210 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


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 : Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 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, 12-14.10.2016

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