基于分割、填充和特征比较的PCB图像缺陷链自动检测

2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT) Pub Date : 2022-11-10 DOI:10.1109/CSIT56902.2022.10000482

R. Melnyk, Yevheniya Levus, R. Tushnytskyy

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引用次数: 0

摘要

提出了一种将PCB板划分为多个零件的方法，以提高缺陷的可见性。该算法用于对PCB链组件进行着色和分离。为了测量缺陷值，将平均强度函数和分布累积直方图应用于PCB组件以检测缺陷的位置和强度

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Automatic Defective Chains Detection in PCB Image by Partition, Flood-Filling and Features Comparison

An approach to divide the PCB board into parts to increase visibility of defects is considered. The flood-fill algorithm is usedto color and to separates the PCB chains components. To measure a defect values a mean intensity functions and distributed cumulative histograms are applied to PCB components to detect defects places and intensity

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来源期刊

2022 IEEE 17th International Conference on Computer Sciences and Information Technologies (CSIT)

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