| 基于图像拼接的表面粗糙度测量方法 |
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| 引用本文： | 张浩,金守峰,林强强. 基于图像拼接的表面粗糙度测量方法[J]. 机械与电子, 2020, 38(2): 11-16 |
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| 作者姓名： | 张浩 金守峰 林强强 |
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| 作者单位： | 西安工程大学机电工程学院，陕西 西安 ７１０６００ |
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| 基金项目： | 西安市科技局科技创新引导项目;陕西省教育厅专项科研项目;陕西省自然科学基础研究计划;创新基金;西安工程大学博士基金 |
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| 摘 要： | 针对光切显微镜图像法测量表面粗糙度时取样长度较小，不足以客观表征工件表面质量的问 题，提出一种基于图像拼接的表面粗糙度测量方法。根据表面粗糙度序列图像中相邻帧图像的重叠区域构 建匹配模板，采用归一化相关算法计算相似度量进行相邻帧图像匹配与拼接，以加权融合算法平滑拼接后 图像的重影和接缝。对拼接后的粗糙度图像提取单侧边缘特征，通过最小二乘法拟合最小二乘轮廓中线， 建立轮廓算 数 平 均 偏 差 和 轮 廓 最 大 高 度 评 定 模 型。实 验 结 果 表 明，采 用 拼 接 算 法 后 取 样 长 度 增 加 了 １９８３．５２μｍ，测量精度平均提高了１．１６％。
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| 关 键 词： | 光切显微镜 表面粗糙度 模版拼接 加权融合 轮廓算术平均偏差 |
Visual Measurement of Surface Roughness Based on Image Stitching Algorithm |
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| ZHANG Hao,JIN Shoufeng,LIN Qiangqiang. Visual Measurement of Surface Roughness Based on Image Stitching Algorithm[J]. Machinery & Electronics, 2020, 38(2): 11-16 |
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| Authors: | ZHANG Hao JIN Shoufeng LIN Qiangqiang |
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| Affiliation: | ＣｏｌｌｅｇｅｏｆＭｅｃｈａｎｉｃａｌａｎｄＥｌｅｃｔｒｉｃａｌＥｎｇｉｎｅｅｒｉｎｇ，Ｘｉ’ａｎＰｏｌｙｔｅｃｈｎｉｃＵｎｉｖｅｒｓｉｔｙ，Ｘｉ’ａｎ７１０６００，Ｃｈｉｎａ |
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| Abstract: | In order to solve the problem that the sampling length is too small to objectively characterize the surface quality of workpiece when measuring surface roughness by light-cutting microscope image method,a surface roughness measurement method based on image mosaic is proposed.The matching template is constructed according to the overlapping regions of adjacent frame images in surface roughness sequence images.The similarity measure is calculated by normalized correlation algorithm to match and stitch adjacent frame images,and the weighted fusion algorithm is used to smooth the stitching image's ghosting and seam.The unilateral edge features were extracted from the spliced roughness image,and the least squares contour midline was fitted by least squares method to establish the contour arithmetic mean deviation and contour maximum height evaluation model.The experimental results show that the sampling length is increased by 1983.52μm and the measurement accuracy is increased by 1.16%on average. |
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| Keywords: | light-cutting microscope Surface roughness template stitching weighted fusion contour arithmetic mean deviation |
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