| 基于计算机视觉的锻件尺寸检测 |
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| 引用本文： | 马俊福,周晓军,徐志农,迟军.基于计算机视觉的锻件尺寸检测[J].组合机床与自动化加工技术,2007(11):48-50. |
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| 作者姓名： | 马俊福 周晓军 徐志农 迟军 |
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| 作者单位： | 浙江大学,机械与能源工程学院,杭州,310027 |
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| 摘 要： | 利用计算机视觉系统获取了锻件的原始图像,根据白色背景下锻件原始图像r分量的灰度直方图确定了图像分割的阈值,并进行了锻件图像的分割。采用最大均匀性平滑法对分割后的锻件图进行了滤波,结果表明最大均匀性平滑法不会损伤锻件边缘形状。利用跟踪虫法对锻件边缘进行了跟踪,结果表明利用该锻件边缘跟踪虫法能提高锻件尺寸检测的精度。
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| 关 键 词： | 计算机视觉 边缘 检测 尺寸 跟踪虫法 |
| 文章编号： | 1001-2265（2007）11-0048-03 |
| 修稿时间： | 2007-03-12 |
Study on the Edge Detection of Forging Based on Computer Vision |
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| MA Jun-fu,ZHOU Xiao-jun,XU Zhi-nong,CHI Jun.Study on the Edge Detection of Forging Based on Computer Vision[J].Modular Machine Tool & Automatic Manufacturing Technique,2007(11):48-50. |
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| Authors: | MA Jun-fu ZHOU Xiao-jun XU Zhi-nong CHI Jun |
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| Affiliation: | College of Mechanical and Energy Engineering, Zhejiang University, Hangzhou 310027, China |
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| Abstract: | Computer Vision System is employed to acquire the original forging image,according to the r component of the histogram of the original forging image,the threshold is determined to segment the original forging image.The maximum homogeneity smoothing method is adopted to filter the segmented forging image,which has shown that the shape of the forging edge could not be damaged by this method.Tracking bug method is used to track the edge of the forging,which has shown that the precision of the forging size detection could be improved by using the edge tracking bug method. |
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| Keywords: | computer vision edge detection size tracking bug method |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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