| 叶 婷,赵立宏,李 明,王炀其.光器件金线图像高光区域的检测与去除[J].电子测量与仪器学报,2022,36(2):146-152 |
| 光器件金线图像高光区域的检测与去除 |
| Detection and removal of highlight area in metal wire image of optical device |
| |
| DOI： |
| 中文关键词: 光器件金线 图像处理 OTSU 算法 高光去除 |
| 英文关键词:metal wires of optical device image processing OTSU algorithm highlight removal |
| 基金项目: |
|
|
|
|
| 摘要点击次数: 357 |
| 全文下载次数: 860 |
| 中文摘要: |
| 针对视觉检测过程中光器件金线表面出现的高光现象,提出一种光器件金线图像高光区域的检测与去除方法。 首先,
根据采集的金线图像进行特征分析,利用 OTSU 算法分割高光区域;其次,调用 MATLAB 中的 bwareaopen( )函数删除小面积对
象,即高光闭合区域,并通过图像的差值运算提取高光区域图像;最后,采用八邻域像素平均值的方法更新高光区域像素值,该
方法既可以去除高光区域,又可以保证此区域像素值在图像中的均衡分布。 通过仿真实验结果分析,验证了金线图像高光区域
检测与去除方法的有效性和可行性,同时为后续金线的质量检测提供有力保障。 |
| 英文摘要: |
| In this paper, aiming at the highlight phenomenon on the surface of optical device metal wire in the process of visual
detection, a method for detecting and removing the highlight area of optical device metal wire image is proposed. First, according to the
feature analysis of the collected metal wire image, the highlight area is segmented by the OTSU algorithm. Then, the bwareaopen
function in MATLAB is called to delete small-area objects, that is, the highlight closed area, and the highlight area image is extracted
through the image difference operation. Finally, the pixel value of the highlight area is updated by the method of the average value of the
eight-neighborhood pixels. This method not only removes the highlight area, but also ensures the balanced distribution of the pixel value
of this area in the image. Through the analysis of simulation experiment results, the effectiveness and feasibility of the method for
detecting and removing the highlights of the metal wire image are verified. Meanwhile, it provides a strong guarantee for the subsequent
quality inspection of the metal wire. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|
