Automatic detection of crystallization evaluation region by using image processing
Abstract
Purpose
The purpose of this paper is to propose an imaging process method for automatically extracting assessment target regions in images of crystallization wells.
Design/methodology/approach
The proposed method detects the target by image processing based on saturation variance in images of crystallization wells.
Findings
The proposed method shows high accurate detection performance in a short time.
Practical implications
The method is applicable to automatic crystallization machine. Especially, it is expected to implement to TERA system of RIKEN.
Originality/value
The paper demonstrates target area detection from microscope images based on saturation variance in images of crystallization wells.
Keywords
Citation
Kawabata, K. (2011), "Automatic detection of crystallization evaluation region by using image processing", Sensor Review, Vol. 31 No. 3, pp. 207-217. https://doi.org/10.1108/02602281111139986
Publisher
:Emerald Group Publishing Limited
Copyright © 2011, Emerald Group Publishing Limited