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基于机器视觉的谷糙分界线检测方法

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目的:精准识别谷糙分界线。方法:提出一种基于直线边缘检测的谷糙分界线识别方法。该方法对不同颜色特征的谷糙分离图像进行模型匹配,将不同匹配结果的图像采用对应的灰度化处理方式;并利用直线边缘检测算法对该边缘进行灰度波动变换、差分处理得到 目标位置。结果:相较于传统的边缘检测方法,该方法将误差范围控制在5%以内,大幅提高了识别精度。结论:该方法的识别误差相对较小,适合用于谷糙分界线的识别应用。
Paddy-brown rice boundary detection method based on machine vision
Objective:To detect and locate the boundary line between paddy and brown rice in separation equipment.Methods:A method based on straight-line edge detection was proposed by performing model matching with different color features.Converted the resulting images to grayscale and applied the linear edge detection algorithm to locate the target position.Results:Our approach reduced the error to within 5%and significantly improved recognition accuracy compared to traditional methods.Conclusion:Proposed method has a small recognition error,making it suitable for identifying the boundary between paddy and brown rice.

boundarypaddy separationedge detectionmachine vision

刘浩、范吉军、余南辉、刘晓鹏、周劲、牟怿

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武汉轻工大学电气与电子工程学院,湖北 武汉 430023

武汉轻工大学机械工程学院,湖北 武汉 430023

分界线 谷糙分离 边缘检测 机器视觉

湖北省重点研发计划湖北省重点研发计划湖北省技术创新专项

2023BBB0182022BBA00472022BEC054

2024

食品与机械
长沙理工大学

食品与机械

CSTPCD北大核心
影响因子:0.89
ISSN:1003-5788
年,卷(期):2024.40(1)
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