Automatic Finger Interruption Detection in Electroluminescence Images of Multicrystalline Solar Cells
المؤلفون المشاركون
Tseng, Din-Chang
Liu, Yu-Shuo
Chou, Chang-Min
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-10-11
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
This study provides an automatic method for detecting finger interruptions in electroluminescence (EL) images of multicrystalline solar cells.
The proposed method is a supervised classification method.
We obtain regions of interest (ROI) by separating the EL image to several regions.
The fingers within each ROI are candidates for defect detection.
We horizontally scan each ROI region and extract features from each finger pixel.
In the training stage, we record a set of features which are extracted from interrupted fingers and noninterrupted fingers.
These features are represented as points in a spectral embedding space produced by spectral clustering method.
These points will be classified into two clusters: interrupted fingers and noninterrupted fingers.
In the classification stage, we firstly detect the position of fingers in an EL image and obtain features from each finger.
The set of features in each finger combined with known features in the training stage will be represented as points in the spectral embedding space and then will be classified to the cluster with nearer cluster centroid of known features.
Experimental results show that the proposed method can effectively detect finger interruptions on a set of EL images of various solar cells.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tseng, Din-Chang& Liu, Yu-Shuo& Chou, Chang-Min. 2015. Automatic Finger Interruption Detection in Electroluminescence Images of Multicrystalline Solar Cells. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1074965
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tseng, Din-Chang…[et al.]. Automatic Finger Interruption Detection in Electroluminescence Images of Multicrystalline Solar Cells. Mathematical Problems in Engineering No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1074965
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tseng, Din-Chang& Liu, Yu-Shuo& Chou, Chang-Min. Automatic Finger Interruption Detection in Electroluminescence Images of Multicrystalline Solar Cells. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1074965
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1074965
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر