基于计算机视觉的苹果大小检测方法研究

Research on Apple Size Detection Method Based on Computer Vision

随着果品技术的不断发展和进步,无损检测技术被应用到水果分级检测系统的设计上,由于无损检测技术检测效率快、自动化程度高,成为水果分拣技术研究的重要课题。为此,在苹果分拣机的设计上引入了机器视觉技术,利用图像的滤波和边缘检测技术,成功提取了苹果的尺寸特征,并结合苹果的称重分拣,有效提高了苹果分拣的效率和准确性。对分拣机进行了测试,结果表明:采用基于机器视觉技术的苹果大小检测方法,可以有效提高苹果分拣的准确性,对分拣机的优化设计具有重要的参考价值。

With the continuous development and progress of fruit technology,non-destructive testing technology has been applied to the design of fruit grading detection system.Due to its fast detection efficiency and high automation,it has become an important topic in the research of fruit sorting technology.In the design of apple sorting machine,it introduced machine vision technology.The image filtering and edge detection technology are used to extract the size characteristics of apple successfully.Combining with the weighing and sorting of apple,it effectively improved the efficiency and accuracy of apple sorting.The test results show that it can effectively improve the accuracy of apple sorting for the apple size detection method based on machine vision technology,which has important reference value for the optimization design of sorting machine.