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Application of digital image processing in the measurement of casting surface roughness

机译:数字图像处理在铸造表面粗糙度测量中的应用

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摘要

This paper presents a surface image acquisition system based on digital image processing technology. The image acquired by CCD is pre-processed through the procedure of image editing, image equalization, the image binary conversation and feature parameters extraction to achieve casting surface roughness measurement. The three-dimensional evaluation method is taken to obtain the evaluation parameters and the casting surface roughness based on feature parameters extraction. An automatic detection interface of casting surface roughness based on MATLAB is compiled which can provide a solid foundation for the online and fast detection of casting surface roughness based on image processing technology.
机译:本文介绍了基于数字图像处理技术的表面图像采集系统。通过图像编辑,图像均衡,图像二进制会话和特征参数提取的过程预处理通过CCD获取的图像以实现铸造表面粗糙度测量。基于特征参数提取,采用三维评估方法获得评估参数和铸造表面粗糙度。编制了基于MATLAB的铸造表面粗糙度的自动检测界面,其可为基于图像处理技术的铸造表面粗糙度的在线和快速检测提供坚实的基础。

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