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Colony image acquisition and genetic segmentation algorithm and colony analyses

机译:菌落图像采集与遗传分割算法及菌落分析

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Colony anaysis is used in a large number of engineerings such as food, dairy, beverages, hygiene, environmental monitoring, water, toxicology, sterility testing, hi order to reduce laboring and increase analysis acuracy, many researchers and developers have made efforts for image analysis systems. The main problems in the systems are image acquisition, image segmentation and image analysis. In this paper, to acquire colony images with good quality, an illumination box was constructed. In the box, the distances between lights and dishe, camra lens and lights, and camera lens and dishe are adjusted optimally. In image segmentation, It is based on a genetic approach that allow one to consider the segmentation problem as a global optimization,. After image pre-processing and image segmentation, the colony analyses are perfomed. The colony image analysis consists of (1) basic colony parameter measurements; (2) colony size analysis; (3) colony shape analysis; and (4) colony surface measurements. All the above visual colony parameters can be selected and combined together, used to make a new engineeing parameters. The colony analysis can be applied into different applications.
机译:菌落分析法被广泛用于食品,乳制品,饮料,卫生,环境监测,水,毒理学,无菌测试等工程中。为了减少工作量并提高分析精度,许多研究人员和开发人员都致力于图像分析系统。系统中的主要问题是图像采集,图像分割和图像分析。为了获得高质量的菌落图像,构建了照明箱。在盒子中,灯光和碟形物,相机镜头和灯之间的距离以及相机镜头和碟形物之间的距离被最佳调整。在图像分割中,它基于一种遗传方法,该方法允许将分割问题视为全局优化。经过图像预处理和图像分割后,进行菌落分析。菌落图像分析包括(1)基本的菌落参数测量; (2)菌落大小分析; (3)菌落形状分析; (4)菌落表面测量。可以选择以上所有视觉菌落参数并将其组合在一起,以用于创建新的工程参数。菌落分析可以应用于不同的应用。

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