حذف بازتاب های حرارتی
ترجمه نشده

حذف بازتاب های حرارتی

عنوان فارسی مقاله: مطالعه ای در مورد حذف بازتاب های حرارتی
عنوان انگلیسی مقاله: A Study on the Elimination of Thermal Reflections
مجله/کنفرانس: دسترسی – IEEE Access
رشته های تحصیلی مرتبط: مهندسی کامپیوتر
گرایش های تحصیلی مرتبط: هوش مصنوعی، مهندسی الگوریتم و محاسبات
کلمات کلیدی فارسی: بازتاب حرارتی، تصویربرداری حرارتی، یادگیری عمیق، تشخیص بازتاب حرارتی، حذف بازتاب حرارتی
کلمات کلیدی انگلیسی: Thermal reflection, thermal imaging, deep learning, thermal reflection detection, thermal reflection removal
نوع نگارش مقاله: مقاله پژوهشی (Research Article)
نمایه: Scopus – Master Journals List – JCR
شناسه دیجیتال (DOI): https://doi.org/10.1109/ACCESS.2019.2957532
دانشگاه: Division of Electronics and Electrical Engineering, Dongguk University, Seoul 04620, South Korea
ناشر: آی تریپل ای - IEEE
نوع ارائه مقاله: ژورنال
نوع مقاله: ISI
سال انتشار مقاله: 2019
ایمپکت فاکتور: 4.641 در سال 2018
شاخص H_index: 56 در سال 2019
شاخص SJR: 0.609 در سال 2018
شناسه ISSN: 2169-3536
شاخص Quartile (چارک): Q2 در سال 2018
فرمت مقاله انگلیسی: PDF
تعداد صفحات مقاله انگلیسی: 15
وضعیت ترجمه: ترجمه نشده است
قیمت مقاله انگلیسی: رایگان
آیا این مقاله بیس است: خیر
آیا این مقاله مدل مفهومی دارد: ندارد
آیا این مقاله پرسشنامه دارد: ندارد
آیا این مقاله متغیر دارد: ندارد
کد محصول: E14082
رفرنس: دارای رفرنس در داخل متن و انتهای مقاله
فهرست انگلیسی مطالب

Abstract


I. Introduction


II. Related Works


III. Contributions


IV. Proposed Method


V. Experimental Results


Authors


Figures


References

نمونه متن انگلیسی مقاله

Abstract


Recently, thermal cameras have been used in various surveillance and monitoring systems. In particular, in camera-based surveillance systems, algorithms are being developed for detecting and recognizing objects from images acquired in dark environments. However, it is difficult to detect and recognize an object due to the thermal reflections generated in the image obtained from a thermal camera. For example, thermal reflection often occurs on a structure or the floor near an object, similar to shadows or mirror reflections. In this case, the object and the areas of thermal reflection overlap or are connected to each other and are difficult to separate. Thermal reflection also occurs on nearby walls, which can be detected as artifacts when an object is not associated with this phenomenon. In addition, the size and pixel value of the thermal reflection area vary greatly depending on the material of the area and the environmental temperature. In this case, the patterns and pixel values of the thermal reflection and the object are similar to each other and difficult to differentiate. These problems reduce the accuracy of object detection and recognition methods. In addition, no studies have been conducted on the elimination of thermal reflection of objects under different environmental conditions. Therefore, to address these challenges, we propose a method of detecting reflections in thermal images based on deep learning and their elimination via post-processing. Experiments using a self-collected database (Dongguk thermal image database (DTh-DB), Dongguk items and vehicles database (DI&V-DB)) and an open database showed that the performance of the proposed method is superior compared to that of other state-of-the-art approaches.


Introduction


Recently, in various fields, data analysis, object detection, pattern recognition, etc. have been performed using a longwavelength infrared (LWIR) camera. LWIR cameras can measure electromagnetic radiation (EMR) in the range of 8–12 µm [1]. Most of the thermal radiation emitted from living bodies and objects is infrared, and in many cases, LWIR cameras are used to measure heat information. Therefore, the LWIR camera is also called a thermal camera. Figure 1 shows the example of visible light and thermal images with thermal camera. Thermal cameras can enhance the visibility of near and far objects in dark environments without additional illuminators. However, it is difficult to detect and recognize an object due to the thermal reflections generated in the image obtained using a thermal camera. The EMR emitted by object reflects off the floor or walls nearby, creating shadow-like areas around the object. This is called the thermal reflection of the object. The pattern, size, and pixel value of thermal reflections vary greatly depending on the material, the generated heat in the range of reflection, the temperature of the object and the surrounding environment. For example, in an 8-bit thermal image, the pixels in the area of thermal reflection can have any value between 0–255.

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