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1. 沈阳工业大学 视觉检测技术研究所,辽宁 沈阳,110870
2. 辽宁轨道交通职业学院,辽宁 沈阳,110023
[ "苑玮琦(1960-),教授,博士生导师,1982年于湖南大学获得学士学位,1988年、1997年于东北大学分别获得硕士、博士学位,主要研究方向为机器视觉检测和生物特征识别。E-mail:yuan60@126.com" ]
[ "常乐(1985-),博士研究生,2007年、2010年于沈阳工业大学分别获得学士、硕士学位,主要研究方向为机器视觉检测和图像识别。E-mail:changle1105@163.com" ]
收稿日期:2015-08-18,
修回日期:2015-10-20,
纸质出版日期:2016-01-25
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苑玮琦, 常乐,. K-F环自动检测系统设计[J]. 光学精密工程, 2016,24(1): 236-244
YUAN Wei-qi, CHANG Le,. Design of automatic K-F ring measuring system[J]. Editorial Office of Optics and Precision Engineering, 2016,24(1): 236-244
苑玮琦, 常乐,. K-F环自动检测系统设计[J]. 光学精密工程, 2016,24(1): 236-244 DOI: 10.3788/OPE.20162401.0236.
YUAN Wei-qi, CHANG Le,. Design of automatic K-F ring measuring system[J]. Editorial Office of Optics and Precision Engineering, 2016,24(1): 236-244 DOI: 10.3788/OPE.20162401.0236.
考虑Kayser-Fleischer( K-F)环自动检测系统可以用于威尔逊氏病(wilson's disease
WD)的辅助诊断
本文针对现有的威尔逊氏病检测方法均没有考虑光照及角膜老年环的影响
通过分析彩色图像中Kayser-Fleischer (K-F)环的分布特征
设计了K-F环自动检测系统。该系统通过对图像进行预处理获得目标检测候选区域
通过梯度响应最优算法精确检测K-F环的边界信息。 为了降低光照对算法有效性影响
建立了光照检测模型来提高检测系统的鲁棒性。最后
定义宽度特征算子排除正常图像的影响
定义颜色特征算子排除角膜老年环的影响。实验分析显示
在采集的2 234幅图像中
本文提出的K-F环自动检测系统的识别率能够达到98.4%
而且系统不受角膜老年环的影响。
Automatic Kayser-Fleischer(K-F) ring measuring systems are able to help the diagnosis of the Wilson's disease. As traditional diagnosis methods for the Wilson's disease ignore the influence of illumination and the corneal arcus on the detection precision
this paper designs an automatic K-F ring measuring system according to the (K-F) ring distribution in a color image. With the system
the Region of Interest(ROI) of an iris image was extracted by pretreatment. Then
the boundary of K-F ring was detected by the integral optimization of gradient algorithm and boundary tracking algorithm. To reduce the influence of the illumination on the validity of the algorithm
an illumination detection model was established to improve the robustness of the measuring system. Finally
the width features and color features were defined to remove the effects by normal images and corneal arcus. 2 234 iris images collected from our database were analyzed and the analyzed results indicate that the classification accuracy of the proposed K-F ring measuring system reaches 98.4%. It still has good performance if the patient has the corneal arcus.
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