Method for improving color sharpness, device for image capture or reproduction, digital image capture device, digital image, sensor for digital image capture device

• 1. 一种用于数字图像捕获设备(DICD)或与图像捕获设备一起使用的常平架系统及组件 [P] . 中国专利： CN214037591U . 2021-08-24
• 2. 用于处理由二进制图像传感器捕获的数字图像的设备和方法 [P] . 中国专利： CN102449663B . 2015.02.11
• 3. METHOD FOR IMPROVING SHARPNESS OF COLORS, DEVICE FOR CAPTURING OR REPRODUCING IMAGE, DIGITAL IMAGE CAPTURE DEVICE, DIGITAL IMAGE, AND SENSOR FOR DIGITAL IMAGE CAPTURE DEVICE [P] . 日本专利： JP2013214986A . 2013-10-17

  机译： 改善颜色清晰度的方法，用于捕获或复制图像的设备，数字图像捕获设备，数字图像以及用于数字图像捕获设备的传感器

• 4. DEVICE AND METHOD FOR PROCESSING DIGITAL IMAGES CAPTURED BY A BINARY IMAGE SENSOR [P] . 欧洲知识产权局专利： EP2446420A4 . 2016-11-23

  机译： 用于处理由二进制图像传感器捕获的数字图像的设备和方法

• 5. Device and method for processing digital images captured by a binary image sensor [P] . 美国专利： US8805103B2 . 2014-08-12

  机译： 用于处理由二进制图像传感器捕获的数字图像的设备和方法

• 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. Liver fibrosis identification based on ultrasound images captured under varied imaging protocols [J] . CAO Gui-tao, SHI Peng-fei, HU Bing 浙江大学学报（英文版）（B辑：生物医学和生物技术） . 2005,第011期
• 3. Fast recognition using convolutional neural network for the coal particle density range based on images captured under multiple light sources [J] . Feiyan Bai, Minqiang Fan, Hongli Yang, 矿业科学技术（英文版） . 2021,第006期
• 4. Fast recognition using convolutional neural network for the coal particle density range based on images captured under multiple light sources [J] . Feiyan Bai, Minqiang Fan, Hongli Yang, 矿业科学技术学报：英文版 . 2021,第006期
• 5. Text extraction from images captured via mobile and digital devices [J] . Yi Zhang, Kok Kiong Tan International journal of computational vision and robotics . 2009,第1期
• 6. Evaluation of digital image capture devices for colorimetric detection on printed microzones [J] . Coltro Wendell Karlos Tomazelli, Duarte Junior Gerson Francisco, Garcia Paulo de Tarso, Quimica nova . 2014,第7期
• 7. A framework for measuring sharpness in natural images captured by digital cameras based on reference image and local areas [J] . Mikko Nuutinen, Olli Orenius, Timo S??m?nen, EURASIP journal on image and video processing . 2012,第1期
• 8. Text extraction from images captured via mobile and digital devices [C] . IEEE/ASME International Conference on Advanced Intelligent Mechatronics . 2009
• 9. Imaging colorimetry using a digital camera with dental applications and digital video capture image analysis. [D] . Ng, Du-Yong. 2005
• 10. Comparison between Different Cost Devices for Digital Capture of X-ray Films: An Image Characteristics Detection Approach [O] . Antonio José Salazar, Juan Camilo Camacho, Diego Andrés Aguirre 2012
• 11. 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. Software Design of Digital Image Capture System for Robots under Linux [J] . CHOU Wu-sheng YANG Guang LIU Jia . 微计算机信息 . 2010,第26期
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