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The Multimission VICAR Planner: Automated Image Processing for Scientific Data Analysis

机译：multimission VICaR planner：用于科学数据分析的自动图像处理

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摘要

The Multimission VICAR Planner (MVP) system is an AI planning system which constructs.

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作者
Chien, S.;
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年度 1995
页码 1-7
总页数 7
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
IMAGE PROCESSING; Multimission VICAR Planner;

机译：图像处理;多重化VICaR规划师;

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专利

1. Automating image processing for scientific data analysis of a large image database [J] . Chien S.A., Mortensen H.B. IEEE Transactions on Pattern Analysis and Machine Intelligence . 1996,第8期

机译：自动化图像处理以对大型图像数据库进行科学数据分析
2. Application and further development of advancedimage processing algorithms for automated analysis ofserial section image data [J] . J P Simmons, P Chuang, M Comer, Modelling and simulation in materials science and engineering . 2009,第2期

机译：先进图像处理算法在序列图像数据自动分析中的应用和进一步发展
3. Gamma ray induced DNA damage in human and mouse leucocytes measured by SCGE-Pro: a software developed for automated image analysis and data processing for Comet assay. [J] . Chaubey RC, psara.barc.ernet.in, Bhilwade HN, Mutation Research: International Journal on Mutagenesis, Chromosome Breakage and Related Subjects . 2001,第2期

机译：通过SCGE-Pro测量伽马射线诱导的人和小鼠白细胞DNA损伤：这是一种用于彗星分析的自动图像分析和数据处理的软件。
4. Using Artificial Intelligence Planning to Automate SAR Image Processing for Scientific Data Analysis [C] . Forest Fisher, Steve Chien, Edisanter Lo, National Conferences on Aritificial Intelligence . 1999

机译：使用人工智能规划自动化SAR图像处理进行科学数据分析
5. Scientific data visualization and digital image processing for structural biology. [D] . Martin, Ioana Maria Boier. 1996

机译：用于结构生物学的科学数据可视化和数字图像处理。
6. Computational Testing for Automated Preprocessing 2: Practical Demonstration of a System for Scientific Data-Processing Workflow Management for High-Volume EEG [O] . Benjamin U. Cowley, Jussi Korpela 2018

机译：自动化预处理的计算测试2：大批量脑电图科学数据处理工作流管理系统的实际演示
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

机译：摘要的各个身体部位或器官可被分析以识别在人体内的不同的疾病。指甲分析来识别人体疾病的方法之一。指甲是身体一部分是离心脏最远，因此在最后接受氧气。作为结果，指甲是第一谁表现出人体疾病的症状。指甲可以容易地捕获用于诊断和没有重装或需要使用指甲图像用于疾病诊断，比如在其他测试和扫描过程没有特定的条件。人的指甲提供有关投诉或取决于它们的形状，纹理和色彩在人体内的任何营养失衡有益的信息。在人类中，许多全身性皮肤疾病是可以很容易地通过两个四肢指甲的仔细检查分析。很多指甲病已发现众多潜在系统性疾病的主要症状。在指甲的颜色，质地和形状的变化是许多疾病主要影响指甲的迹象。考虑到所有的指甲的这些性能的系统被提出，用于识别人指甲这样的变化以获得更精确的结果，并毫不费力预测许多疾病用途的数字图像处理（DIP）方法。随着物联网（IOT）的概念，新兴的互联网将生成的报告提供远程，这将帮助用户降低运输工作。由于系统必须处理大量的私人数据，数据的安全性必须得到保证。为了保持数据的机密性，使用Blockchain的概念，它是在数据管理领域的大多数新兴的概念之一。本文包含了数字图像处理的指甲图像，IOT（ThingSpeak云）的使用为数据存储和执行Blockchain的特征提取的执行，以保持固定的系统和盗窃免费。关键词：诠释薄GS（IOT），图像的ERNET PROC essin克，薄型gSpeak，RG乙vavalues，平均数PI XEL vavalues，阵营kchain，哈希密钥。疾病诊断系统：在人类指甲异常
8. Multimission image processing and science data visualization [R] . Green, William B. 1993

机译：多传输图像处理和科学数据可视化

The Multimission VICAR Planner: Automated Image Processing for Scientific Data Analysis

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