The purpose of this paper is to present classification schemes for the crystallization state of proteins utilizing image processing.
Two classification schemes shown here are combined sequentially.
The correct ratio of experimental result using the method presented here is approximately 70 per cent.
The paper is a contribution to automated evaluation crystal growth, combining two classifiers based on specific visual feature, sequentially.
Kawabata, K., Saitoh, K., Takahashi, M., Asama, H., Mishima, T., Sugahara, M. and Miyano, M. (2008), "Evaluation of protein crystallization state by sequential image classification", Sensor Review, Vol. 28 No. 3, pp. 242-247. https://doi.org/10.1108/02602280810882607Download as .RIS
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