A Method for Identifying Contours in Processing Digital Images from Computer Tomograph

机译：一种用于从计算机断层扫描处理数字图像中的轮廓的方法

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The first step in digital processing of two-dimensional computed tomography images is to identify the contour of component elements. This paper deals with the collective work of specialists in medicine and applied mathematics in computer science on elaborating new algorithms and methods in medical 2D and 3D imagery.

机译：二维计算断层摄影图像的数字处理的第一步是识别组件元素的轮廓。本文涉及医学专家的集体工作，在计算机科学中阐述医疗2D和3D图像中的新算法和方法。

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《International Conference of Numerical Analysis and Applied Mathematics》|2011年||共4页
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Serban ROSU; Flavius PATER; Dan COSTEA; Mihnea MUNTEANU; Doina ROSU; Mihaela FRATILA;
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中图分类计算技术、计算机技术;
关键词
CT slices contour detection;

机译：CT切片轮廓检测;

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1. Computer-assisted delineation of lung tumor regions in treatment planning CT images with PET/CT image sets based on an optimum contour selection method [J] . Ze JIN, Hidetaka ARIMURA, Yoshiyuki SHIOYAMA, Journal of Radiation Research: Official Organ of the Japan Radiation Research Society . 2014,第6期

机译：基于最佳轮廓选择方法的PET / CT图像集在治疗计划CT图像中计算机辅助描绘肺肿瘤区域
2. Computer-assisted delineation of lung tumor regions in treatment planning CT images with PET/CT image sets based on an optimum contour selection method [J] . Hideki Hirata, Hidetaka Arimura, Hidetake Yabu-Uchi, Journal of radiation research . 2014,第6期

机译：基于最佳轮廓选择方法的PET / CT图像集在治疗计划CT图像中计算机辅助描绘肺肿瘤区域
3. Soft-tissues Image Processing: Comparison of Traditional Segmentation Methods with 2D active Contour Methods [J] . J. Mikulka, E. Gescheidtova, K. Bartusek Mineralogia . 2012,第4期

机译：软组织图像处理：传统分割方法与2D主动轮廓方法的比较
4. A Method for Identifying Contours in Processing Digital Images from Computer Tomograph [C] . Serban ROSU, Flavius PATER, Dan COSTEA, International Conference of Numerical Analysis and Applied Mathematics . 2011

机译：一种用于从计算机断层扫描处理数字图像中的轮廓的方法
5. IMAGE SEGMENTATION WITH LOCAL FEEDBACK AT LOW- AND HIGH-LEVEL PROCESSING (COMPUTER VISION, CONTOUR EXTRACTION, REGION GROWING, HANDWRITTEN NUMERAL RECOGNITION). [D] . CHEN, BOR-DONG. 1985

机译：在低水平和高水平处理（计算机视觉，轮廓提取，区域增长，手写数字识别）中具有局部反馈的图像分段。
6. Computer-assisted delineation of lung tumor regions in treatment planning CT images with PET/CT image sets based on an optimum contour selection method [O] . Ze Jin, Hidetaka Arimura, Yoshiyuki Shioyama, 2014

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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. Computer Processing of Sem Images by Contour Analyses [R] . Matson, W. L., McKinstry, H. A., Johnson, G. G., 1970

机译：用等高线分析计算sem图像的计算机

A Method for Identifying Contours in Processing Digital Images from Computer Tomograph

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