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Underwater Object Recognition Using Transformable Template Matching Based on Prior Knowledge
المؤلفون المشاركون
Han, Zhi
Tang, Yandong
Wu, Chengdong
Zhu, Jianjiang
Yu, Siquan
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-02-03
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Underwater object recognition in sonar images, such as mine detection and wreckage detection of a submerged airplane, is a very challenging task.
The main difficulties include but are not limited to object rotation, confusion from false targets and complex backgrounds, and extensibility of recognition ability on diverse types of objects.
In this paper, we propose an underwater object detection and recognition method using a transformable template matching approach based on prior knowledge.
Specifically, we first extract features and construct a template from sonar video sequences based on the analysis of acoustic shadows and highlight regions.
Then, we identify the target region in the objective image by fast saliency detection techniques based on FFT, which can significantly improve efficiency by avoiding an exhaustive global search.
After affine transformation of the template according to the orientation of the target, we extract normalized gradient features and calculate the similarity between the template and the target region, which can solve various difficulties mentioned above using only one template.
Experimental results demonstrate that the proposed method can well recognize different underwater objects, such as mine-like objects and triangle-like objects and can satisfy the demands of real-time application.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhu, Jianjiang& Yu, Siquan& Han, Zhi& Tang, Yandong& Wu, Chengdong. 2019. Underwater Object Recognition Using Transformable Template Matching Based on Prior Knowledge. Mathematical Problems in Engineering،Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1194941
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhu, Jianjiang…[et al.]. Underwater Object Recognition Using Transformable Template Matching Based on Prior Knowledge. Mathematical Problems in Engineering No. 2019 (2019), pp.1-11.
https://search.emarefa.net/detail/BIM-1194941
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhu, Jianjiang& Yu, Siquan& Han, Zhi& Tang, Yandong& Wu, Chengdong. Underwater Object Recognition Using Transformable Template Matching Based on Prior Knowledge. Mathematical Problems in Engineering. 2019. Vol. 2019, no. 2019, pp.1-11.
https://search.emarefa.net/detail/BIM-1194941
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1194941
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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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
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