工业工程 ›› 2020, Vol. 23 ›› Issue (3): 115-122.doi: 10.3969/j.issn.1007-7375.2020.03.015

• 实践与应用 • 上一篇    下一篇

基于图像识别算法的图像传感器质量检测方法改善研究

赵慧娟, 姜盼松, 黄文聪   

  1. 青岛科技大学 经济与管理学院,山东 青岛 266061
  • 收稿日期:2019-06-03 发布日期:2020-07-04
  • 作者简介:赵慧娟(1977-),女,山西省人,副教授,博士,主要研究方向为运营管理、质量管理等
  • 基金资助:
    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)

Improvement of Image Sensor Quality Inspection Method Based on Image Recognition Algorithm

ZHAO Huijuan, JIANG Pansong, HUANG Wencong   

  1. College of Economics and Management, Qingdao University of Science & Technology, Qingdao 266061, China
  • Received:2019-06-03 Published:2020-07-04

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。

关键词: 图像识别算法, 质量控制方法, 图像传感器

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.

Key words: image recognition algorithm, quality control method, image sensor

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