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Image analysis aided by segmentation algorithms for techniques ranging from scanning probe microscopy to optical microscopy

机译:分割算法辅助的图像分析,适用于从扫描探针显微镜到光学显微镜的技术

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摘要

Microscope image analysis is a common term that covers the use of digital image processing techniques to process and analyse images obtained with all the range of available microscopes, ranging from the Scanning Probe Microscopy (SPM) family, operating down to atomic scale, to Optical Microscopy (OM). Such processing techniques are now commonplace in a number of different fields such as medicine, biology, physics, chemistry, engineering. As a consequence, a number of manufacturers of microscopes now specifically design in features that allow the microscopes to interface to an image processing tool. Nevertheless, in many applications where a rough image analysis is requested, image processing systems are not enough for corrections of specific instrumental distortions or for the correct recognition of unknown sample features. In this chapter, we describe the fundamental aid offered by segmentation techniques for image analysis of microscopes operating on different scales. Several segmentation algorithms are described and commented looking how they work when applied to various scale lengths.
机译:显微镜图像分析是一个通用术语,涵盖了使用数字图像处理技术来处理和分析从所有可用显微镜(从扫描探针显微镜(SPM)系列到最小原子级)到光学显微镜所获得的图像的过程。 (OM)。这种处理技术现在在许多不同领域中很普遍,例如医学,生物学,物理学,化学,工程学。结果,许多显微镜制造商现在专门设计了允许显微镜连接到图像处理工具的功能。然而,在许多要求进行粗略图像分析的应用中,图像处理系统不足以校正特定的仪器失真或正确识别未知样品特征。在本章中,我们描述了分割技术为不同规模的显微镜图像分析提供的基本帮助。描述并评论了几种分割算法,以了解它们在应用于各种刻度长度时如何工作。

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