Method of analysis of a film of the images observed on the indicator of a panoramic radar, and the corresponding equipment

• 1. 立体全景图像创建设备、立体全景图像创建方法和立体全景图像创建程序,立体全景图像再现设备、立体全景图像再现方法和立体全景图像再现程序,以及记录介质 [P] . 中国专利： CN102918858A . 2013-02-06
• 2. 用于从所观察到的数字图像序列恢复数字图像的方法与设备 [P] . 中国专利： CN103201765B . 2016.04.06
• 3. SYNTHETIC APERTURE RADAR IMAGE ANALYSIS SYSTEM, SYNTHETIC APERTURE RADAR IMAGE ANALYSIS METHOD, AND SYNTHETIC APERTURE RADAR IMAGE ANALYSIS PROGRAM [P] . US2021132214A1 . 2021-05-06

  机译： 合成孔径雷达图像分析系统，合成孔径雷达图像分析方法和合成孔径雷达图像分析程序

• 4. Synthetic Aperture Radar Image Analysis System, Synthetic Aperture Radar Image Analysis Method and Synthetic Aperture Radar Image Analysis Program [P] . JPWO2019215819A1 . 2021-05-13

  机译： 合成孔径雷达图像分析系统，合成孔径雷达图像分析方法和合成孔径雷达图像分析程序

• 5. Synthetic aperture radar image analysis system, synthetic aperture radar image analysis method and synthetic aperture radar image analysis program [P] . JP6935847B2 . 2021-09-15

  机译： 合成孔径雷达图像分析系统，合成孔径雷达图像分析方法和合成孔径雷达图像分析程序

• 1. Real-time parameters monitoring system for underground equipment based on panoramic images [J] . Chen-guang ZHAO, Bo-qiang SHI, Zhi-jun HAO, 煤炭学报：英文版 . 2013,第001期
• 2. A curvelet-based method to determine wave directions from nautical X-band radar images [J] . ZHA Guozhen, HE Qingyou, GUAN Changlong, 海洋学报（英文版） . 2018,第001期
• 3. A novel algorithm for ocean wave direction inversion from X-band radar images based on optical flow method [J] . WANG Li, CHENG Yunfei, HONG Lijuan, 海洋学报（英文版） . 2018,第003期
• 4. Analysis and Modelling of Atmospheric Internal Waves Observed in Synthetic Aperture Radar Ocean Images [C] . Igor Chunchuzov, Paris W. Vachon, Xiaofeng Li Fifth International Symposium on Stratified Flows . 2000
• 5. Development of a methodology to determine drug distribution in polymeric thin film formulations using hyperspectral image analysis [D] . Jerez Rozo, Jackeline I. 2013
• 6. An Improved Panoramic Digital Image Correlation Method for Vascular Strain Analysis and Material Characterization [O] . K. Genovese, Y-U. Lee, A.Y. Lee, -1
• 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

• 1. Removal of the Shadow of Cervical Vertebrae from Panoramic X-Ray Images with a Tomosynthesis Method [J] . Koichi Ogawa ,Jyunpei Yamamoto ,Masatoshi Yanase . 医学影像期刊（英文） . 2013,第4期
• 2. Correlation between the Solution Chemistry to Observed Properties of CdTe Thin Films Prepared by CBD Method [J] . Laxman Gouda ,Yelameli Ramesh Aniruddha ,Sheela K. Ramasesha . 现代物理（英文） . 2012,第12期
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