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A Visible and Passive Millimeter Wave Image Fusion Algorithm Based on Pulse-Coupled Neural Network in Tetrolet Domain for Early Risk Warning
المؤلفون المشاركون
Li, Feng
Li, Yuanjiang
Ye, WeiYang
Chen, Jian Fei
Gong, Miao
Zhang, Yousai
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-04-08
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
An algorithm based on pulse-coupled neural network (PCNN) constructed in the Tetrolet transform domain is proposed for the fusion of the visible and passive millimeter wave images in order to effectively identify concealed targets.
The Tetrolet transform is applied to build the framework of the multiscale decomposition due to its high sparse degree.
Meanwhile, a Laplacian pyramid is used to decompose the low-pass band of the Tetrolet transform for improving the approximation performance.
In addition, the maximum criterion based on regional average gradient is applied to fuse the top layers along with selecting the maximum absolute values of the other layers.
Furthermore, an improved PCNN model is employed to enhance the contour feature of the hidden targets and obtain the fusion results of the high-pass band based on the firing time.
Finally, the inverse transform of Tetrolet is exploited to obtain the fused results.
Some objective evaluation indexes, such as information entropy, mutual information, and QAB/F, are adopted for evaluating the quality of the fused images.
The experimental results show that the proposed algorithm is superior to other image fusion algorithms.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Li, Yuanjiang& Ye, WeiYang& Chen, Jian Fei& Gong, Miao& Zhang, Yousai& Li, Feng. 2018. A Visible and Passive Millimeter Wave Image Fusion Algorithm Based on Pulse-Coupled Neural Network in Tetrolet Domain for Early Risk Warning. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1207373
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Li, Yuanjiang…[et al.]. A Visible and Passive Millimeter Wave Image Fusion Algorithm Based on Pulse-Coupled Neural Network in Tetrolet Domain for Early Risk Warning. Mathematical Problems in Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1207373
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Li, Yuanjiang& Ye, WeiYang& Chen, Jian Fei& Gong, Miao& Zhang, Yousai& Li, Feng. A Visible and Passive Millimeter Wave Image Fusion Algorithm Based on Pulse-Coupled Neural Network in Tetrolet Domain for Early Risk Warning. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1207373
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1207373
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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