Mapping of Road Signs Using Image Processing Methods

机译：使用图像处理方法绘制路标

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Bakalářská práce se zabývá rozpoznáváním dopravního značení z videozáznamu, získávaným GPS záznamu a vložením dopravních značek s odpovídajícími GPS souřadnicemi do centrální databáze OSM. V jednotlivých kapitolách sou postupně představené metody detekce a klasifikace obrazu, obeznámení s projektem OSM a jeho zásuvným modulem JOSM, návrh a samotná implementace výsledné aplikace a zásuvného modulu. V poslední kapitole sou představené výsledky testovaní aplikace na deseti videozáznamech. Závěr obsahuje zhodnocení práce s možnými rozšířeními.

机译：学士学位论文涉及从视频中识别交通标志，获取的GPS记录以及将具有相应GPS坐标的交通标志插入中央OSM数据库。各章逐步介绍了图像检测和分类的方法，熟悉OSM项目及其JOSM插件，结果应用程序和插件的设计和实现。上一章介绍了在十个视频上测试应用程序的结果。结论包含对工作的评估以及可能的扩展。

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Leško Vladimír;
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年度 2015
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原文格式 PDF
正文语种 cs
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专利

1. A mapping method for 3D satellite and sensor images using a road extraction algorithm for occlusion processing of virtual targets [J] . SunHee Weon, GyeYoung Kim, JeongHee Cha, International Journal of Computer Applications in Technology . 2013,第1期

机译：使用道路提取算法对虚拟目标进行遮挡处理的3D卫星和传感器图像映射方法
2. High heat flux mapping using infrared images processed by inverse methods: An application to solar concentrating systems [J] . Pozzobon Victor, Salvador Sylvain Solar Energy . 2015,第jula期

机译：使用通过逆方法处理的红外图像绘制高热通量图：在聚光系统中的应用
3. Preprocessing Digital Images for Quickly and Reliably Detecting Road Signs [J] . P. Yu. Yakimov Pattern recognition and image analysis: advances in mathematical theory and applications in the USSR . 2015,第4期

机译：预处理数字图像以快速可靠地检测道路标志
4. EXTRATING ROAD DIRECTION INFORMATION FROM ROAD SIGN IMAGERY TAKEN BY MOVILE MAPPING SYSTEM [C] . Junhee Youn, Gihong Kim, Kyusoo Chong American Society for Photogrammetry and Remote Sensing Annual Conference . 2015

机译：从移动映射系统拍摄的道路标志图像中提取道路方向信息
5. Satellite image processing methods for land use and land cover mapping and change detection and applications to landslide studies in the Three Gorges Area, China. [D] . Chen, Zhaohua. 2008

机译：卫星图像处理方法，用于土地利用和土地覆被测绘以及变化检测以及在中国三峡地区滑坡研究中的应用。
6. Road Sign Recognition with Fuzzy Adaptive Pre-Processing Models [O] . Chien-Chuan Lin, Ming-Shi Wang 2012

机译：模糊自适应预处理模型的路标识别
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

Mapping of Road Signs Using Image Processing Methods

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