SYSTEM AND METHOD FOR PROCESSING AT LEAST ONE POLLUTING REGION OF A DIGITAL IMAGE OF AN OBJECT EXPOSED TO X-RAYS

• 1. 用于处理暴露于X射线的对象的数字图像的至少一个污染区域的系统和方法 [P] . 中国专利： CN112352259A . 2021-02-09
• 2. 产生用于物体尤其是人的至少一个局部区域的手术、检验或处理的消毒区域的方法 [P] . 中国专利： CN105050626A . 2015-11-11
• 3. SYSTEM AND METHOD FOR PROCESSING AT LEAST ONE POLLUTING REGION OF A DIGITAL IMAGE OF AN OBJECT EXPOSED TO X-RAYS [P] . EP3811327A1 . 2021-04-28

  机译： 用于处理暴露于X射线的物体的数字图像的至少一个污染区域的系统和方法

• 4. SYSTEM AND METHOD FOR PROCESSING AT LEAST ONE POLLUTING REGION OF A DIGITAL IMAGE OF AN OBJECT EXPOSED TO X-RAYS [P] . 世界知识产权组织专利： WO2019243731A1 . 2019-12-26

  机译： 用于处理X射线对象的数字图像的至少一个污染区域的系统和方法

• 5. A system and method for processing at least one inhibitory region of a digital image of an object exposed to X-rays [P] . JP2021527538A . 2021-10-14

  机译： 一种用于处理暴露于X射线的物体的数字图像的至少一个抑制区域的系统和方法

• 1. Applying Digital Image Processing to Evaluate a Extraction Method of Cartographic Features in Digital Images [J] . Erivaldo Antonio da Silva, Guilherme Pina Cardim 地球科学与工程：英文版 . 2012,第004期
• 2. A Novel Method for Automated Lung Region Segmentation in Chest X-Ray Images [J] . Eri Matsuyama 生物医学工程（英文） . 2021,第006期
• 3. Improvements of Traditional Laser Fraunhofer Diffraction Experiment Using Digital Image Processing Method [J] . JIN Yuanwei, WANG Yabing, ZHAO Bin, 东华大学学报（英文版） . 2020,第005期
• 4. Digital image processing algorithms to determining an object's true gray levels in x-ray back scatter images [C] . Sun Lina International symposium on photoelectronic detection and imaging;ISPDI 2011 . 2012
• 5. GEOGRAPHIC INFORMATION SYSTEM IMPLEMENTATION AND MULTI-TEMPORAL IMAGE PROCESSING AS A METHOD FOR MODELING AND DETECTING CHANGE IN A DIVERSE FORESTED REGION OF TEXAS. [D] . OSLIN, AUBIE JEAN BAUCUM. 1987
• 6. Study on Construction of a Medical X-Ray Direct Digital Radiography System and Hybrid Preprocessing Methods [O] . Yong Ren, Sheng Wu, Mijian Wang, 2014
• 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
• 8. Digital Image Processing in Ion Microscope Analysis: Methods of Image Quantification [R] . Drummer, D. M., Morrison, G. H. 1980

• 1. Digital Image Processing Methods for Bridge Coating Management and Their Limitations [J] . Sangwook Lee . 土木工程与建筑 . 2011,第001期
• 2. Implementation of Shock Filter for Digital X-Ray Image Processing [J] . Lan-Rong Dung ,Shang-Ting Sun ,Yin-Yi Wu . 电脑和通信（英文） . 2014,第13期
• 3. 基于NSP的医用X射线数字图像处理系统 [C] . 鲍捷 ,高隽 ,刘宏伟 . 第五届全国计算机应用联合学术会议 . 1999
• 4. 焊缝X射线数字图像处理及缺陷检测方法研究 [A] . 陈光 . 2007