The purpose of this paper is to propose an imaging process method for automatically extracting assessment target regions in images of crystallization wells.
The proposed method detects the target by image processing based on saturation variance in images of crystallization wells.
The proposed method shows high accurate detection performance in a short time.
The method is applicable to automatic crystallization machine. Especially, it is expected to implement to TERA system of RIKEN.
The paper demonstrates target area detection from microscope images based on saturation variance in images of crystallization wells.
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