The Automatic Counting of Chlorella Using Image Processing and Neural Network

Yasuaki SUMI
Makoto OTA
Noboru YABUKI
Shigeki OBOTE
Yoshitaka MATSUDA
Yutaka FUKUI

Publication
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E84-A    No.3    pp.794-796
Publication Date: 2001/03/01
Online ISSN: 
DOI: 
Print ISSN: 0916-8508
Type of Manuscript: Special Section LETTER (Special Section of Selected Papers from the 13th Workshop on Circuits and Systems in Karuizawa)
Category: 
Keyword: 
chlorella,  counting,  pattern recognition,  neural network,  back propagation,  

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Summary: 
In the culture of marine chlorellas, it is necessary to count the number in order to understand the condition of increase. For that propose, counting by the naked eye using the microscope has been used. However, this method requires a lot of time and work. We have developed the automatic chlorella counter using image processing and neural network. Its effectiveness is confirmed through the experiment.