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A study on pre-processing algorithms for metal parts inspection

机译：金属零件检测的预处理算法研究

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Pre-processing is very useful in a variety of situations since it helps to suppress information that is not related to the exact image processing or analysis task. Mathematical morphology is used for analysis, understanding and image processing. It is an influential method in the geometric morphological analysis and image understanding. It has befallen a new theory in the digital image processing domain. Edges detection and noise reduction are a crucial and very important pre-processing step. The classical edge detection methods and filtering are less accurate in detecting complex edge and filtering various types of noise. This paper proposed some useful mathematic morphological techniques to detect edge and to filter noise in metal parts image. The experimental result showed that the proposed algorithm helps to increase accuracy of metal parts inspection system.
机译：预处理在各种情况下非常有用，因为它有助于抑制与确切的图像处理或分析任务无关的信息。数学形态学用于分析，理解和图像处理。它是几何形态分析和图像理解中的一种有影响的方法。它已经成为数字图像处理领域的一种新理论。边缘检测和降噪是至关重要且非常重要的预处理步骤。传统的边缘检测方法和滤波在检测复杂边缘和滤波各种类型的噪声方面不太准确。本文提出了一些有用的数学形态学技术来检测金属零件图像中的边缘并过滤噪声。实验结果表明，该算法有助于提高金属零件检测系统的精度。

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