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Methods and Applications of Eye Blink Detection with Digital Image Processing

机译：数字图像处理的眨眼检测方法及应用

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摘要

Disertační práce pojednává o oblasti detekce mrkání jako součásti komplexního oboru detekce a rozpoznávání obličejů. Práce je zaměřena směrem k číslicovému zpracování obrazu. Součástí je analýza problematiky a popis dostupných obrazových databází vhodných k testovacím účelům. Ve dvou hlavních kapitolách jsou návrhy metod pro detekci mrkání s využitím číslicového zpracování obrazu jak bez IR technologie, tak s IR technologií.

机译：本文将眨眼检测领域作为面部检测和识别的复杂领域的一部分。这项工作集中在数字图像处理上。它包括对问题的分析和适用于测试目的的可用图像数据库的描述。这两个主要章节提出了使用不具有IR和IR技术的数字图像处理进行眨眼检测的方法。

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Vlach Jan;
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年度 2009
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正文语种 {"code":"cs","name":"Czech","id":5}
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机译：眼睛区域周围彩色图像眼动和眼睛眨眼检测的分析方法
2. Automated eye blink detection and correction method for clinical MR eye imaging [J] . Wezel Joep, Garpebring Anders, Webb Andrew G., Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine . 2017,第1期

机译：临床MR眼镜成像自动眨眼检测和校正方法
3. Automated eye blink detection and correction method for clinical MR eye imaging [J] . Wezel Joep, Garpebring Anders, Webb Andrew G., Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine . 2017,第1期

机译：临床MR眼镜成像自动眨眼检测和校正方法
4. Blink Detection Using Image Processing to Predict Eye Fatigue [C] . Akihiro Kuwahara, Rin Hirakawa, Hideki Kawano, International Conference on Human Interaction and Emerging Technologies . 2020

机译：使用图像处理来预测眼睛疲劳的闪烁检测
5. Satellite image processing methods for land use and land cover mapping and change detection and applications to landslide studies in the Three Gorges Area, China. [D] . Chen, Zhaohua. 2008

机译：卫星图像处理方法，用于土地利用和土地覆被测绘以及变化检测以及在中国三峡地区滑坡研究中的应用。
6. Application of automatic statistical post-processing method for analysis of ultrasonic and digital dermatoscopy images [O] . Indre Drulyte, Tomas Ruzgas, Renaldas Raisutis, 2018

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7. ABSTRACT Various body parts or organs can be analysed to identify the different diseases in the human body. Fingernail analysis is one of the ways to identify disease in the human body. Nails are the body part which are farthest from the heart and therefore receive oxygen at last. As a result the nails are the first who show the symptoms of a disease in the human body. Fingernails can be easily captured for diagnosis and there are no heavy equipment or no specific conditions required to use nail image for disease diagnosis, like in other tests and scanning processes. Human nails deliver beneficial information about complaints or any nutritive imbalances in the human body depending upon their shape, texture and colour. In human beings, numerous systemic and skin diseases can be easily analyzed through careful examination of nails of both the limbs. A lot of nail illnesses have been found to be primary signs of numerous underlying systemic illnesses. The colour, texture or shape changes in nails are signs of many diseases mainly affecting nails. Considering all these properties of nails a system is proposed that uses digital image processing (DIP) methods for identifying such changes in the human nail to get more precise results and predict numerous diseases effortlessly. With the emerging Internet of Things (IOT) concept the generated report is made available remotely, this will help users to reduce transportation efforts. As the system has to deal with large and private data, the security of data must be ensured. To keep the data confidential, the Blockchain concept which is one of the most emerging concepts in the field of data management is used. The paper contains the implementation of the digital image processing for feature extraction of nail images, usage of IOT (ThingSpeak cloud) for data storage and implementation of Blockchain to keep the system secured and theft free. KEY WORDS: Int ernet of thin gs (IOT), Image proc essin g, Thin gSpeak, RG B vavalues, Mean pi xel vavalues, Bloc kchain , Hash key. Disease Diagnostic System: Abnormalities in Human Nail [O] . Pranav S. Wazarkar 2020

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Methods and Applications of Eye Blink Detection with Digital Image Processing

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