Colony Counting and Color Classification Device based on Image Processing
Main Article Content
Abstract
This paper presents the design and development of color classification and colony counting device. It comprises of two main parts which are hardware and software. The hardware consists of a micro-controller which is used to interface with personal computer and used to control the RGE LED bulbs. The LED bulbs are installed on the plate's surface. The software is the graphic user interface and image processing. The main steps of image processing are determining of color component, multilevel threshold and noise reduction by using morphology. The experiment can identify the color of colonies in 5 colors which are black, white, pink, purple and cream. The result of experiment has average error about 2.3% and it takes the less time to process compared with the experts. The device can be applied to biological laboratory by the small and portability.
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References
X. Liu, S. Wang, L. Sendi, and M. J. Caulfield, “High-throughput imaging of bacterial colonies grown on filter plates with application to serum bactericidal assays,” Journal of Immunological Methods, 2004, pp. 187-193
National Standard of The People’s Republic of China [S]. Food hygiene inspection methods (Microbiology section), Beijing, China Standard Press, 1985, pp. 194-196.
M. Niyazi, I. Niyazi, C. Belka, “Counting colonies of clonogenic assays by using densitometric software,” Radiation Oncology, vol. 2, 2007.
H. Men, Y. Wu, X. Li, Z. Kou, S. Yang, “Counting Method of Heterotrophic Bacteris Based on Image Processing” IEEE Publiction Bacteria Based in Image Processing” IEEE Publication, 2008, pp. 1238-1241.
S. Wei-zheng, W. Ya-chun, Z. Jie, Z. Hui, “Experimental Study for Automatic Colony Counting System Based on Image Processing,” International Conference on Computer Application and System Modeling, 2010, Taiyuan, China, pp. V6-612 – V6-615
C. Zhang, W. Chen, W. Liu, C. Chen, “An Automated Bacterial Colony Counting System.” International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, Taichung, Taiwan, 2008, pp. 233-240.
Ates H., Gerek O.N., “An Image-Processing Based Automated Bacteria Colony Counter,” International Symposium on Digital Object Identifier, Guzelyurt, Turkey, 2009, pp. 18-23.
P. Chongsomchai, N. Maneerat, R. Varakulsiripunth, S. Junyapoon, “Semi-Continuous Airborne Bacteria Analyzer based on Image Processing,” 1st International Symposium on Technology for Sustainability, Bangkok, Thailand, 2011, pp. 64-67
Yueh-Ru Yang, “Implementation of Colorful RGB-LED Light Source with an 8-bit Microcontroller,” IEEE Conference on Industrial Electronics and Applicationsis, Taichung, Taiwan, 2010, pp. 1951-1956.