Title :
Experimental study for automatic colony counting system based on image processing
Author :
Shen, Wei-Zheng ; Zhao, Lie ; Wu, Ya-Chun ; Zheng, Hui
Author_Institution :
Eng. Coll., Northeast Agric. Univ., Harbin, China
Abstract :
Colony number in many colony calculating experiments is counted by manual method at present, therefore it is difficult to get the result quickly and accurately when the number of experimental sample is large. A new automatic colony counting system was developed, which makes use of image-processing technology to feasibly count white bacterial colonies in clear plates according to the RGB color theory. A way of obtaining optimal threshold of segment image was obtained based upon a lot of experiments on the distribution of the colony´s chromatic value. It has been proved that the method greatly improves the accuracy and efficiency of the colony counting and the counting result is not affected by inoculation method, shape or size of the colony. It is revealed that automatic detection of colony quantity using image-processing technology could be an effective way.
Keywords :
image segmentation; RGB color theory; automatic colony counting system; image processing; image segmentation; image-processing technology; white bacterial colonies; Image recognition; Optical imaging; Radiation effects; automatic detection; colony counting; image processing; optimal chromatic value;
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
DOI :
10.1109/ICCASM.2010.5620851