亚像素测量:以亚像素精度测量工业产品的尺寸我要分享

Subpixel measurement: measure the size of industrial products with subpixel accuracy

亚像素测量 测量 亚像素 精度测量

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文件大小: 363

代码分类: 仿真计算

开发平台: matlab

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代码描述

中文说明:

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现代工业对测量的精度、测量的效率以及测量的自动化程度的要求越来越高,传统的测量技术很难达到这样的要求,如微小尺寸的测量。基于CCD成像的图像测量方法由于其非接触性、精确性、实时性等优势而被广泛的应用于精确测量中。该文从软件入手,改进图像处理的算法,利用亚像素的图像处理技术,即精度更高的亚像素边缘检测算法,来使图像的边缘定位更加精确,从而提高基于图像处理的入射角测量系统的测量精度。通过实验分析,表明亚像素图像处理测量误差比整像素图像处理测量误差小,均小于0.05,很好的提高了测量精确度。


English Description:

Abstract: modern industry has higher and higher requirements for the accuracy, efficiency and automation of measurement. Traditional measurement technology is difficult to meet such requirements, such as the measurement of small size. The image measurement method based on CCD imaging is widely used in accurate measurement because of its advantages of non-contact, accuracy and real-time. Starting with the software, this paper improves the image processing algorithm, and uses the sub-pixel image processing technology, that is, the sub-pixel edge detection algorithm with higher accuracy, to make the edge location of the image more accurate, so as to improve the measurement accuracy of the incident angle measurement system based on image processing. The experimental analysis shows that the measurement error of sub-pixel image processing is smaller than that of whole pixel image processing, which is less than 0.05, which improves the measurement accuracy.


代码预览

Canny_Edge_Detect.m

Circle_Fit.m

Edge_Segmentation.m

README.md

Subpixel_Extraction.m

metal-parts-01.png

metal-parts-blurred.png

metal-parts-deblurred.png

test1.m