| 杨雪， 陈永清， 郭建亮， 程晓民， 陈廉清.基于形态学的双螺孔自动检测技术[J].轻工机械,2019,37(1):74-77 |
| 基于形态学的双螺孔自动检测技术 |
| Automatic Detection Technique of Dual Screw Holes Based on Morphology |
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| DOI：10.3969/j.issn.1005 2895.2019.01.014 |
| 中文关键词: 图像处理 双螺孔 形态学 方差阈值法 特征识别 |
| 英文关键词:image processing dual screw hole morphology variance threshold value method characteristic recognition |
| 基金项目:国家自然科学基金资助项目（51275251）；浙江省自然科学基金（LY14E050003）；宁波市自然科学基金（2015A610149）；宁波工程学院2015年度自制教学仪器设备项目。 |
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| 摘要点击次数: 1059 |
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| 中文摘要: |
| 为满足双螺孔准确、高速和客观的实时检测要求，搭建图像采集系统采集待检产品图像，研究了基于数字图像处理的视觉检测系统实现的关键技术。针对需同时检测双孔是否为螺纹孔及是否有烂牙和螺纹小径尺寸是否在公差范围内等多个检测特征，通过对图像依次作形态学预处理、最大类间方差阈值法分割，应用设定检测区域、图像比较和区域描述技术对螺孔进行分析，并定义检测目标的灰度值、像素个数作为螺孔特征识别的主要依据。开发了机器视觉自动检测系统，包括视觉检测软件及图像采集机构，试用结果表明该系统能准确实现双螺孔的自动检测，系统能满足检测的实时性与准确性要求。 |
| 英文摘要: |
| For meeting the requirement of precise, high speed and objective real time inspection of the double screw holes, an image acquisition system was constructed to collect the product images to be inspected, during which the key technology for visual inspection system realization was studied. Due to the multiple inspection characteristics of double screw holes including the screw thread existence, the rotten tooth existence, and the size tolerance of small diameter, the image was processed through the morphology pretreatment and the maximum between cluster variance threshold value method segmentation. The inspection zone, image comparison, and region description technology were used to analyze the screw hole.The gray value and pixels quantity were adopted as the main proof of screw hole characteristic recognition. A machine vision automatic inspection system was developed with the visual inspection software and the image capture mechanism. The test result shows that the dual screw holes can be successfully inspected using the proposed system. |
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