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.

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