基于图像的集装箱锁孔定位技术

Image-based lock hole positioning technology for container

随着机器视觉技术的日益发展,双目立体视觉已经广泛应用于物体识别、工业检测、机器人导航等领域。文中对集装箱锁孔的图像特征以及工作环境进行研究,提供一种基于图像技术的锁孔识别及定位的方案,并对该方案在实际测试中遇到的问题进行分析,并提供实验结果。

With the development of machine vision technologies,binocular stereoscopic vision system is widely applied in object identification,industrial detection,robot navigation,and other fields.The paper introduces the image characteristics of container lock hole and working environment,puts forward a lock hole identification and positioning program based on the imaging technology,analyses the problem found in actual testing,and gives the test results.