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Image Denoising and Quality Inspection of Micro Components Using Perona-Malik Diffusion

机译:Perona-Malik扩散技术对微零件的图像去噪和质量检查

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摘要

The production of micro components has received much attention on the last years and has recently become one of the crucial tasks of product and processes oriented research. During the production of very small parts, many unanticipated manufacturing errors such as cracks, wrinkles and form deviations may occur. In order to minimize these defects (flaws) and simultaneously achieve an economically efficient production of micro parts the suitable methods for quality inspection are required. This paper focuses micro- components manufactured by means of micro-cold forming techniques. The new methods for error detection in micro components are proposed. The quality of presented approach will be demonstrated in numerical examples.
机译:微型零件的生产在最近几年受到了广泛的关注,最近已成为面向产品和过程的研究的关键任务之一。在生产非常小的零件期间,可能会发生许多意外的制造错误,例如裂缝,皱纹和形状偏差。为了最大程度地减少这些缺陷(缺陷)并同时实现经济高效的微型零件生产,需要使用合适的质量检查方法。本文重点介绍通过微冷成型技术制造的微组件。提出了一种新的微零件错误检测方法。所提出的方法的质量将在数值示例中得到证明。

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