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Investigations of Lexidata 3400 Image Processor and Diagnostics; Jindalee paper no. 147

机译：调查Lexidata 3400图像处理器和诊断;金达利纸业没有。 147

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摘要

In this paper an overview of the structure and use of the display hardware to be used in JINDALEE Stage B is given. Some diagnostic programs which test aspects of the hardware are also discussed.

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作者
Tucker, S. P.;
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年度 1981
页码 p.1-31
总页数 31
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Color displays; Radar; Rasters; Fortran; Software tools; Computer graphics; Operating systems(Computers); Australia; Microprocessors; Image processing;

机译：彩色显示器;雷达;栅格; Fortran;软件工具;计算机图形学;操作系统（计算机）;澳大利亚;微处理器;图像处理;

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2. Web-wide imaging of paper; Analyzing the potential of on-line light transmittance measurement in quality control and diagnostics of paper [J] . Jukka-Pekka Raunio, Ville Tirronen, Ilkka Lehtoranta, Nordic Pulp & Paper Research Journal . 2013,第1期

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4. Weight Engineering Reduction Process "Saving Money While Saving Weight", SAWE Paper No. 3279 Category No. 28 [C] . SAWE International Conference of Socity of Allied Weight Engineers . 2002

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5. Investigation of spheromak plasma dynamics: High-speed imaging at the Sustained Spheromak Physics Experiment and magnetic diagnostics at the Caltech Spheromak Experiment. [D] . Romero Talamas, Carlos Alejandro. 2005

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6. Automated characterisation of ultrasound images of ovarian tumours: the diagnostic accuracy of a support vector machine and image processing with a local binary pattern operator [O] . S. Khazendar, A. Sayasneh, H. Al-Assam, 2015

机译：卵巢肿瘤超声图像的自动表征：支持向量机的诊断准确性和使用本地二进制模式运算符的图像处理
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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Investigations of Lexidata 3400 Image Processor and Diagnostics; Jindalee paper no. 147

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