학술논문
基于机器视觉的谷糙分界线检测方法 / Paddy-brown rice boundary detection method based on machine vision
Document Type
Academic Journal
Source
食品与机械 / Food & Machinery. 40(1):108-114
Subject
Language
Chinese
ISSN
1003-5788
Abstract
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.
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.
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.