版权说明 操作指南
首页 > 成果 > 详情

Methodology for Potatoes Defects Detection with Computer Vision

认领
导出
反馈
分享
QQ微信 微博
成果类型:
期刊论文
作者:
Jin, Jing;Li, Jinwei;Liao, Guiping*;Yu, Xiaojuan;Viray, Leo Christopher C.
通讯作者:
Liao, Guiping
作者机构:
[Li, Jinwei; Liao, Guiping; Jin, Jing; Yu, Xiaojuan; Viray, Leo Christopher C.] Hunan Agr Univ, Inst Agr Informat, Changsha 410128, Hunan, Peoples R China.
通讯机构:
[Liao, Guiping] H
Hunan Agr Univ, Inst Agr Informat, Changsha 410128, Hunan, Peoples R China.
语种:
英文
关键词:
Computer vision;Pattern recognition;Potatoes;Defects detection
期刊:
ISIP: 2009 INTERNATIONAL SYMPOSIUM ON INFORMATION PROCESSING, PROCEEDINGS
年:
2009
页码:
346-351
机构署名:
本校为第一且通讯机构
院系归属:
信息科学技术学院
摘要:
correct detection of external defects on potatoes is the key technology in the realization of automatic potato grading and sorting station. This paper reports a novel inspection approach to external defects of potato in three potato cultivars. Adaptive Intensity Interception (AII) and Fixed Intensity Interception (FII) methods have been proposed to extract the suspect defects. Otsu segmentation combined with morphologic operation was used to remove the normal skin and background. Area threshold and black ratio threshold were used to identify defects in the suspect defects. Experiments have sho...

反馈

验证码:
看不清楚,换一个
确定
取消

成果认领

标题:
用户 作者 通讯作者
请选择
请选择
确定
取消

提示

该栏目需要登录且有访问权限才可以访问

如果您有访问权限,请直接 登录访问

如果您没有访问权限,请联系管理员申请开通

管理员联系邮箱:yun@hnwdkj.com