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The Automatic Counting of Chlorella Using Image Processing and Neural Network
Yasuaki SUMI Makoto OTA Noboru YABUKI Shigeki OBOTE Yoshitaka MATSUDA Yutaka FUKUI
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2001/03/01
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)
chlorella, counting, pattern recognition, neural network, back propagation,
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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.