| 基于图像识别算法的图像传感器质量检测方法改善研究 |
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| 引用本文： | 赵慧娟,姜盼松,黄文聪.基于图像识别算法的图像传感器质量检测方法改善研究[J].工业工程,2020,23(3):115-122. |
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| 作者姓名： | 赵慧娟 姜盼松 黄文聪 |
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| 作者单位： | 青岛科技大学 经济与管理学院，山东 青岛 266061 |
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| 基金项目： | 国家自然科学基金资助项目(71701103)；山东省社会科学资助项目(19CDNJ04)；青岛市社科资助项目(QDSKL1901204) |
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| 摘 要： | 针对图像传感器质量检测结果可信度低的问题,基于Laplacian算子图像识别技术,借助Matlab软件,建立图像识别模型,实现图像采集、图像边缘智能识别、图像特征信息智能提取与分析的功能。通过实验对比,证明改善后的检测方法能更准确地反映产品质量特性。
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| 关 键 词： | 图像识别算法 质量控制方法 图像传感器 |
| 收稿时间： | 2019-06-03 |
Improvement of Image Sensor Quality Inspection Method Based on Image Recognition Algorithm |
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| ZHAO Huijuan,JIANG Pansong,HUANG Wencong.Improvement of Image Sensor Quality Inspection Method Based on Image Recognition Algorithm[J].Industrial Engineering Journal,2020,23(3):115-122. |
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| Authors: | ZHAO Huijuan JIANG Pansong HUANG Wencong |
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| Affiliation: | College of Economics and Management, Qingdao University of Science & Technology, Qingdao 266061, China |
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| Abstract: | Aiming at the problem of low reliability of image sensor quality detection results and based on Laplacian operator image recognition technology, an image recognition model is established with the help of Matlab software, realizing image acquisition, image edge intelligent recognition, image feature information intelligent extraction and analysis functions. Through the experimental comparison, it is proved that the improved detection method can more accurately reflect the product quality characteristics. |
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| Keywords: | image recognition algorithm quality control method image sensor |
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