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金属工件高光检测与修复

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针对在对金属工件进行图像采集时由于金属表面的强反射特性而产生高光区域,导致后续三维重建等信息大量缺失进而影响测量精度的问题,提出了一种基于色度空间转换及BSCB的高光处理算法.首先,利用CIE-XYZ色度空间导出CIE-xyY颜色空间,计算得出颜色亮度及亮度进而完成对高光区域的提取.然后,利用BSCB进行高光区域的修复,得到去高光后的金属工件图像.实验结果表明,该方法可以检测并提取拍摄得到的金属工件高光区域,精度较高,提高了金属高光图像修复率,有广泛的应用前景.
Highlight Inspection and Repair of Metal Parts
A highlight processing algorithm based on chromaticity space conversion and BSCB is proposed to address the prob-lem that highlight areas are generated due to the strong reflective properties of metal surfaces during image acquisition,result-ing in a large amount of missing information for subsequent 3D reconstruction and thus affecting the measurement accuracy.First,the CIE-XYZ chromaticity space is used to derive the CIE-xyY color space,and the color brightness and luminance are calculated to complete the extraction of highlight areas.Then,BSCB is used to repair the highlight areas and obtain the de-highlighted metal workpiece images.The experimental results show that the method can detect and extract the highlight areas of the photographed metal workpieces with high accuracy and improve the restoration rate of metal highlight images,which has a wide application prospect.

Metal HighlightingDichromatic Reflection ModelCIE-XYZCIE-xyYHighlight RepairBSCB

刘伊玟、唐瑞尹

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华北理工大学电气工程学院,河北唐山 063210

北华航天工业学院科技处,河北廊坊 065000

金属高光 双色反射模型 CIE-XYZ CIE-xyY 高光修复 BSCB

河北省高等学校科学技术研究项目

ZD2020159

2024

机械设计与制造
辽宁省机械研究院

机械设计与制造

CSTPCD北大核心
影响因子:0.511
ISSN:1001-3997
年,卷(期):2024.404(10)
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