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Dissertations / Theses on the topic 'Image defects'

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1

Louridas, Efstathios. "Image processing and analysis of videofluoroscopy images in cleft palate patients." Thesis, University of Kent, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.267392.

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2

Palmquist, Jonathan. "Detecting defects on cheese using hyperspectral image analysis." Thesis, Umeå universitet, Institutionen för fysik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-172695.

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Defects such as mold and bacterial stains can appear on cheese. Manually detecting defects is a time-consuming, cost-ineffective, and ergonomically unsatisfactory process for a dairy because the quality technicians must inspect each cheese before packaging. Instead, dairies would prefer an automatic detection system, but it is unclear whether reliable options are available. One potential approach is hyperspectral image analysis, which can interpret and classify chemical information from a sample. We collected hyperspectral images from a dairy using a short-wave infrared (SWIR) camera and compa
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Al-Eidarous, Mustafa H. "Image processing : techniques for locating defects on shirt collars." Thesis, University of Hull, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.301339.

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4

Wi, Huiju. "Evaluating Defects of Bridge Elements Using an Image Processing Approach." Thesis, Griffith University, 2014. http://hdl.handle.net/10072/366670.

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The total expenditure on bridge maintenance/rehabilitation and improvement for the year 2010-11 in Australia was AUD1.2 billion. This was a 67% rise in ten years. The efficient use of public funds for the structural integrity of bridge networks requires an effective bridge asset management technology. For effective asset management, many bridge authorities have implemented Bridge Information System (BIS) or Bridge Management System (BMS) to manage their routine inspection information. The success of a BMS is highly dependent on the quality of bridge inspection results and accurate est
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5

Yang, Hsien-Min 1957. "IC defect detection using color information and image processing." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276831.

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Most current commercial automated IC inspection systems use gray-level or binary images for IC defect detection in spite of the fact that color permits defect detection where gray-level information is insufficient. Three color image processing techniques including the spectral-spatial clustering, principal components, and hue-saturation-value (HSV) color features have been investigated to evaluate the usefulness of color for IC defect detection. The AMOEBA spectral-spatial clustering algorithm, an un-supervised color segmentation approach, with a sequence of image processing procedures resulte
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6

Abdellatif, Abeer Moustafa. "A study of developmental defects of enamel using clinical indices and image analysis." Thesis, University of Sheffield, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.247151.

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7

Jorgenson, Todd F. "Comparison of two imaging modalities : F-speed film and digital images for detection of osseous defects in patients with vertical bone defects /." Oklahoma City : [s.n.], 2003.

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8

Wei, Guo-Feng. "An image quality model based on the influence of Mura defects in TFT-LCDs." Thesis, University of Leeds, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.581866.

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Mura is a type of defect on LCD's that affects image quality. Due to its subtle nature - gradually and non-uniformly changes in lightness within a specific area, how Mura defects can be effectively inspected and objectively graded has been an issue in the LCD manufacturing industry for many years. Although many studies using different approaches to the Mura detection issue have been carried out, there is still a lack of reliable standard and methods that can be fully adopted in the industry and replace the human eye in the inspection work. Based on demand from the LCD industry, a uniform Mura
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9

GNANAPRAKASAM, PRADEEP. "CHARACTERIZATION OF SEED DEFECTS IN HIGHLY SPECULAR SMOOTH COATED SURFACES." UKnowledge, 2004. http://uknowledge.uky.edu/gradschool_theses/318.

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Many smooth, highly specular coatings such as automotive paints are subjected to considerable performance demands as the customer expectations for appearance of coatings are continually increasing. Therefore it is vital to develop robust methods to monitor surface quality online. An automated visual assessment of specular coated surface that would not only provide a cost effective and reliable solution to the industries but also facilitate the implementation of a real-time feedback loop. The scope of this thesis is a subset of the inspection technology that facilitates real-time close loop con
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10

Johnson, Christopher Ian. "Image processing techniques for the detection and characterisation of features and defects in railway tracks." Thesis, Manchester Metropolitan University, 2013. http://e-space.mmu.ac.uk/332148/.

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This thesis describes the research that led to the development of a machine vision system in collaboration with TATA, UK and Sheffield Supertram. This was part of a European initiative for Predictive Maintenance employing non-intrusive inspection and data analysis known as PM’n’Idea. The hardware and software design, construction, and evaluation of a prototype for predictive maintenance are presented. The prototype was tested on Sheffield and Warsaw’s tram systems. The prototype has been designed with due account of a specified set of environmental constraints such as a high level of vibration
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11

SILVA, LUCIANA FERREIRA. "3D IMAGE ACQUISITION, PROCESSING AND ANALYSIS: MICROCT AND FIB-SEM IN THE CHARACTERIZATION OF DEFECTS IN WET WELDS." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2014. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=25051@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO<br>COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO<br>PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO<br>A caracterização tridimensional tem sido mais utilizada na área da ciência dos materiais devido à necessidade de melhor compreensão e resultados mais precisos acerca da microestrutura dos materiais, que não são completamente revelados pelas técnicas tradicionais de microscopia bidimensional. No presente trabalho dois tipos de técnicas de caracterização 3D
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12

Thomas, Liya. "Automated Detection of Surface Defects on Barked Hardwood Logs and Stems Using 3-D Laser Scanned Data." Diss., Virginia Tech, 2006. http://hdl.handle.net/10919/29038.

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This dissertation presents an automated detection algorithm that identifies severe external defects on the surfaces of barked hardwood logs and stems. The defects detected are at least 0.5 inch in height and at least 3 inches in diameter, which are severe, medium to large in size, and have external surface rises. Hundreds of real log defect samples were measured, photographed, and categorized to summarize the main defect features and to build a defect knowledge base. Three-dimensional laser-scanned range data capture the external log shapes and portray bark pattern, defective knobs, and dep
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13

Zhu, Zhenhua. "Column recogniton and defects/damage properties retrieval for rapid infrastructure assessment and rehabilitation using machine vision." Diss., Georgia Institute of Technology, 2011. http://hdl.handle.net/1853/44768.

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No matter how inspection techniques have been advanced, manual visual inspection is currently still the first and fundamental step in assessing civil infrastructure. If no sign of deterioration has been spotted in manual inspection, any future inspection actions is not necessary to take. However, manual inspection has been identified with several limitations including the qualitative nature of inspection results, the time-consuming inspection process, and the heavy reliance on inspectors' and/or engineers' experience. In order to overcome these limitations, automated visual inspection systems
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14

Ouyang, Wenbin. "On-Loom Fabric Defect Inspection Using Contact Image Sensors and Activation Layer Embedded Convolutional Neural Network." Thesis, University of North Texas, 2018. https://digital.library.unt.edu/ark:/67531/metadc1404537/.

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Malfunctions on loom machines are the main causes of faulty fabric production. An on-loom fabric inspection system is a real-time monitoring device that enables immediate defect detection for human intervention. This dissertation presented a solution for the on-loom fabric defect inspection, including the new hardware design—the configurable contact image sensor (CIS) module—for on-loom fabric scanning and the defect detection algorithms. The main contributions of this work include (1) creating a configurable CIS module adaptable to a loom width, which brings CIS unique features, such as sub-m
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15

Malek, Abdel Salam. "Online fabric inspection by image processing technology." Phd thesis, Université de Haute Alsace - Mulhouse, 2012. http://tel.archives-ouvertes.fr/tel-00720041.

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The purpose of this thesis is to automate the online detection of weaving defects by a computerized system based on image processing software. Obviously, fabric inspection has an importance to prevent risk of delivering inferior quality product. Until recently, the visual defect detection is still under taken offline and manually by humans with many drawbacks such as tiredness, boredom, and, inattentiveness. Fortunately, the continuous development in computer technology introduces the online automated fabric inspection as an effective alternative. Because the defect-free fabric has a periodic
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DIMAS, FIRMANDA AL RIZA. "Potato surface defect detection using machine vision systems based on spectral reflection and fluorescence characteristics in the UV-NIR region." Kyoto University, 2019. http://hdl.handle.net/2433/244556.

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Kyoto University (京都大学)<br>0048<br>新制・課程博士<br>博士(農学)<br>甲第22075号<br>農博第2367号<br>新制||農||1072(附属図書館)<br>学位論文||R1||N5229(農学部図書室)<br>京都大学大学院農学研究科地域環境科学専攻<br>(主査)教授 近藤 直, 准教授 小川 雄一, 教授 清水 浩<br>学位規則第4条第1項該当
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Acharya, Pradip. "DETECTION AND SEGMENTATION OF DEFECTS IN X-RAY COMPUTED TOMOGRAPHY IMAGE SLICES OF ADDITIVELY MANUFACTURED COMPONENT USING DEEP LEARNING." OpenSIUC, 2021. https://opensiuc.lib.siu.edu/theses/2834.

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Additive manufacturing (AM) allows building complex shapes with high accuracy. The X-ray Computed Tomography (XCT) is one of the promising non-destructive evaluation techniques for the evaluation of subsurface defects in an additively manufactured component. Automatic defect detection and segmentation methods can assist part inspection for quality control. However, automatic detection and segmentation of defects in XCT data of AM possess challenges due to contrast, size, and appearance of defects. In this research different deep learning techniques have been applied on publicly available XCT i
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18

Frey, Jonathan Mack. "Imaging of spatial non-uniformities and the characterization of defects in photovoltaic devices using a LASER-beam-induced-current (LBIC) mapping technique." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file 12.30 Mb., 155 p, 2006. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&res_dat=xri:pqdiss&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&rft_dat=xri:pqdiss:1430772.

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19

Kitajima, Hiroumi D. "In Vitro Fluid Dynamics of Stereolithographic Single Ventricle Congenital Heart Defects From In Vivo Magnetic Resonance Imaging." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/25074.

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Background: Single ventricle congenital heart defects with cyanotic mixing between systemic and pulmonary circulations afflict 2 per 1000 live births. Following the atriopulmonary connection proposed by Fontan and Baudet in 1971, the present procedure is the total cavopulmonary connection (TCPC), where the superior vena cava (SVC) and inferior vena cava (IVC) are sutured to the left pulmonary artery (LPA) and right pulmonary artery (RPA). However, surgeon preference dictates the implementation of the extra-cardiac and intra-atrial varieties of the TCPC. Overall efficiency and hemodynamic advan
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20

Павлов, Андрій Володимирович, Андрей Владимирович Павлов, Andrii Volodymyrovych Pavlov та ін. "Аналіз методів фільтрації цифрових зображень в об’єктах ідентифікації". Thesis, Сумський державний університет, 2014. http://essuir.sumdu.edu.ua/handle/123456789/39214.

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Висока ефективність процесу ідентифікації об’єктів та їх параметрів визначається цілим рядом умов, однією з яких є максимальна об’єктивність інформації про вид і стан відповідного об’єкту представленої, наприклад, у вигляді цифрового зображення. Порушення об’єктивності відповідної інформації може виникати у випадку появи цифрових шумів зображення як на етапі формування вихідного цифрового негативу, так і в процесі конвертації зображення з цифрового негативу в файл одного з відомих форматів.
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21

Medeiros, Savi Flavia. "Bone responses to tissue engineered constructs (TECs) in critical large bone defects: Towards improved histological and immunohistochemical assessment." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/203906/1/Flavia_Medeiros%20Savi_Thesis.pdf.

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This research was focused on the development of advanced quantitative methods to evaluate the use of a 3D printed membrane scaffold, for the guidance and spatiotemporal delivery of recombinant human bone growth factor for the regeneration of a large bone defect, which still represents a major challenge in orthopaedic and reconstructive surgery. Two histomorphometric approaches were investigated and successfully applied. The combined histological, immunohistochemical and histomorphometric analyses outlined in this thesis further elucidated the mechanisms and patterns that govern the bone regene
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22

Rönnqvist, Johannes, and Johannes Sjölund. "A Deep Learning Approach to Detection and Classification of Small Defects on Painted Surfaces : A Study Made on Volvo GTO, Umeå." Thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-160194.

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In this thesis we conclude that convolutional neural networks, together with phase-measuring deflectometry techniques, can be used to create models which can detect and classify defects on painted surfaces very well, even compared to experienced humans. Further, we show which preprocessing measures enhances the performance of the models. We see that standardisation does increase the classification accuracy of the models. We demonstrate that cleaning the data through relabelling and removing faulty images improves classification accuracy and especially the models' ability to distinguish between
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23

Matěják, Vladimír. "Effects of Defects on Composite Structures Load Carrying Capacity: Delaminations at a Bi-Material Interface." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2016. http://www.nusl.cz/ntk/nusl-255282.

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Kompozitní materiály se projevují komplexním způsobem porušování, které může být dále ovlivněno přítomností různých poruch plynoucích z výrobních processů nebo se vyskytujících v průběhu života součásti. Důkladné porozmění procesů porušování a jejich okolností je nezbytné pro navrhování kompozitních konstrukcí, jenž budou bezpečnější, trvanlivější a ekonomičtější. V první části disertační práce jsou popsány způsoby porušování kompozitů a uvedeny současné matematické metody pro analýzu a výpočet únosnosti. Dále jsou zde vyjmenovány hlavní druhy vad a stručně diskutován jejich vliv na vlastnosti
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Lim, Joven Jun Hua. "Electron microscopy studies of precipitation in nuclear reactor pressure vessel steels under neutron irradiation and thermally ageing." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:33daab2c-5c3f-466b-bdd6-0cc022169a6b.

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Maintaining the safe operation of nuclear power plants (NPPs) is crucial. This requires fully understanding the mechanism of long term irradiation and thermal ageing, as well as their effects, on components including the reactor pressure vessel (RPV). The research community is collecting data that will be required to support the case for extending the operation of western-type NPPs beyond that of 60 years. One of the current dilemmas faced by the long-term operation of RPVs is the formation of nanometre scale precipitates. These precipitates are known to cause embrittlement where it increases
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Дзіх, Мирослав Миколайович, Myroslav Dzikh, Микола Тарасович Турчин та Mykola Turchyn. "Автоматизований метод моніторингу дефектності матеріалів і конструкцій на стадії передруйнування". Master's thesis, Тернопільський національний технічний університет ім. І. Пулюя, Факультет прикладних інформаційних технологій та електроінженерії, Кафедра автоматизації технологічних процесів і виробництв, 2020. http://elartu.tntu.edu.ua/handle/lib/33245.

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Робота виконана на кафедрі автоматизації технологічних процесів і виробництв факультету прикладних інформаційних технологій та електроінженерії Тернопільського національного технічного університету імені Івана Пулюя Міністерства освіти і науки України. Захист відбудеться «21» грудня 2020 р. о 14.00год. на засіданні екзаменаційної комісії №22 у Тернопільському національному технічному університеті імені Івана Пулюя.<br>Вирішено актуальне науково-прикладне завдання створення теоретичних засад, методів і систем автоматизованого прогнозування та об’єктивного аналізу дефектної структури поверхневих
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Саць, Олександр Васильович, Юрій Іванович Рожицький, Oleksandr Sats та Yuriy Rozhytskyi. "Аналітичне та експериментальне оцінювання стану металевих поверхонь з втомними пошкодженнями за допомогою комп’ютеризованої дефектометрії". Master's thesis, Тернопільський національний технічний університет ім. І. Пулюя, Факультет прикладних інформаційних технологій та електроінженерії, Кафедра автоматизації технологічних процесів і виробництв, 2020. http://elartu.tntu.edu.ua/handle/lib/33317.

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Робота виконана на кафедрі автоматизації технологічних процесів і виробництв факультету прикладних інформаційних технологій та електроінженерії Тернопільського національного технічного університету імені Івана Пулюя Міністерства освіти і науки України. Захист відбудеться «23» грудня 2020р. о 14.00год. на засіданні екзаменаційної комісії №22 у Тернопільському національному технічному університеті імені Івана Пулюя<br>В даній кваліфікаційній роботі розроблено теоретичні дослідження проведені з використанням методів мезомеханіки, механіки деформівного твердого тіла та положень лінійної та неліній
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Палилюлько, Ельвіра Едуардівна, Ірина Олегівна Пекар, Elvira Palilyulko та Iryna Pekar. "Автоматизований морфологічний аналіз типів руйнування наплавлених захисних покриттів (комплексна тема)". Master's thesis, Тернопільський національний технічний університет ім. І. Пулюя, Факультет прикладних інформаційних технологій та електроінженерії, Кафедра автоматизації технологічних процесів і виробництв, 2021. http://elartu.tntu.edu.ua/handle/lib/36720.

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Робота виконана на кафедрі автоматизації технологічних процесів і виробництв факультету прикладних інформаційних технологій та електроінженерії Тернопільського національного технічного університету імені Івана Пулюя Міністерства освіти і науки України. Захист відбудеться «24» грудня 2021р. о 9.00год. на засіданні екзаменаційної комісії №22 у Тернопільському національному технічному університеті імені Івана Пулюя.<br>У магістерській роботі на основі робототехніки, аналізі зображень, автоматичному електронному мікроскопії проаналізовано якість наплавлених шарів матеріалу. Метод аналізу ґрунтуєть
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Warensjö, Mats. "Compression wood in Scots pine and Norway spruce : distribution in relation to external geometry and the impact on dimensional stability in sawn wood /." Umeå : Swedish University of Agricultural Sciences, 2003. http://diss-epsilon.slu.se/archive/00000415/.

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Thesis (doctoral)--Swedish University of Agricultural Sciences, 2003.<br>Thesis documentation sheet inserted. Appendix includes reprints of five papers and manuscripts, four co-authored with others. Includes bibliographical references. Also issued electronically via World Wide Web in PDF format; online version lacks appendix.
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Johnson, Jay Tillay. "Defect and thickness inspection system for cast thin films using machine vision and full-field transmission densitometry." Thesis, Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/37234.

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Quick mass production of homogeneous thin film material is required in paper, plastic, fabric, and thin film industries. Due to the high feed rates and small thicknesses, machine vision and other nondestructive evaluation techniques are used to ensure consistent, defect-free material by continuously assessing post-production quality. One of the fastest growing inspection areas is for 0.5-500 micrometer thick thin films, which are used for semiconductor wafers, amorphous photovoltaics, optical films, plastics, and organic and inorganic membranes. As a demonstration application, a prototype ro
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Janošík, Zdeněk. "Klasifikace detekovaných vad." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221300.

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In this master thesis is described how to design and implement classifier of defects detected during the final stage of production nonwovens. The beginning of the thesis is devoted to the analysis of options for image processing and classification. Followed by the part, where is described process of image segmentation and extraction of feature vector. Description of classifier implementation and table of achieved results of classification on real images of detected defects.
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HEGSTAM, BJÖRN. "Defect detection and segmentation inmultivariate image streams." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142069.

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OptoNova is a world leading producer of inspection systems for quality control of surfaces and edges at high rates. They develop their own sensor systems and software and have taken an interest in investigating the possibility of using methods from machine learning to make better use of the available sensor data. The purpose of this project was to develop a method for finding surface defects based on multivariate images. A previous Master’s project done at OptoNova had shown promising results when applying machine learning methods to inspect the sides of kitchen cabinet doors. The model develo
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Hegstam, Björn. "Defect detection and segmentation inmultivariate image streams." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-150456.

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OptoNova is a world leading producer of inspection systems for qualitycontrol of surfaces and edges at high rates. They develop their ownsensor systems and software and have taken an interest in investigatingthe possibility of using methods from machine learning to make betteruse of the available sensor data.The purpose of this project was to develop a method for finding sur-face defects based on multivariate images. A previous Master’s projectdone at OptoNova had shown promising results when applying machinelearning methods to inspect the sides of kitchen cabinet doors. Themodel developed for
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33

Kehoe, A. "Detection and evaluation of defects in industrial images." Thesis, University of Surrey, 1990. http://epubs.surrey.ac.uk/804357/.

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Boček, Václav. "Detekce vad potisku." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413272.

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This thesis deals with the design and subsequent implementation of a unit inspecting a printed logos on the pen surface. A line-scan camera is used to capture the object. Whole the unit including acquited data processing is controlled by Raspberry Pi 4 platform extended by perifery board. The control of the hardware parts is implemented in C++, the detection algorithms in Python using OpenCV and TensorFlow libraries. The unit has a graphical user interface for control of the inspection process. In the end of the thesis test of the unit reliability is shown.
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Ng, Nga-yi Ada. "Defect detection in semiconductor die images." Click to view the E-thesis via HKUTO, 2005. http://sunzi.lib.hku.hk/hkuto/record/B32040799.

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Ng, Nga-yi Ada, and 伍雅怡. "Defect detection in semiconductor die images." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2005. http://hub.hku.hk/bib/B32040799.

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Xiao, Xinhua. "Automated Defect Recognition in Digital Radiography." University of Cincinnati / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1439309683.

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Zontone, Federico. "Imagerie par diffraction ("topographie") à l'installation européenne de rayonnement synchrotron ("ESRF") : ligne de lumière, possibilités et premières expériences." Université Joseph Fourier (Grenoble), 1995. http://www.theses.fr/1995GRE10037.

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L'imagerie par diffraction (topographie) est une technique qui est utilisee pour la caracterisation de defauts (defauts cristallins, parois, interfaces,) dans des materiaux monocristallins. La disponibilite des sources de rayonnement synchrotron de la troisieme generation telles que l'esrf ouvre de nouvelles perspectives pour cette technique. La these presente l'etude et la realisation de la ligne de lumiere id19 dediee a la topographie et a la diffraction a haute resolution a l'esrf. On y decrit l'optique, que nous avons calculee. On y discute la charge thermique pour la topographie en faisce
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Castro, Roman Manuel de Jesús. "Étude expérimentale et modélisation de la solidification des pièces coulées en fonte à graphite spheroidal : influence de la vitesse de refroidissement et de l'inoculation." Vandoeuvre-les-Nancy, INPL, 1991. http://docnum.univ-lorraine.fr/public/INPL_T_1991_CASTRO_ROMAN_M_J.pdf.

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La présente étude porte sur l'influence de la vitesse de refroidissement et du taux d'inoculation sur la structure de solidification des fontes à graphite sphéroïdal. Des modèles de simulation numérique de la solidification sont proposés. Des pièces comportant 5 cylindres de diamètres différents, instrumentés à l'aide de thermocouples, ont été coulées. Les courbes de refroidissement ont été dépouillées par analyse thermique directe et dérivée. La structure des cylindres a été caractérisée par analyse d'images : on a ainsi déterminé la densité surfacique de nodules, leur densité volumique, le t
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Song, Keng Yew. "Surface defect detection on textured background." Thesis, University of Surrey, 1993. http://epubs.surrey.ac.uk/844113/.

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This thesis addresses the problem of defect detection on complex textural surfaces. In general, whether the texture to be inspected is regular or random, in image terms it is characterized by local variations in pixel grey level values. These normal variations render the problem of texture defect detection extremely difficult as defects are often manifested by grey level changes and their detection requires more than mere pixel comparisons. In the thesis, classical techniques on texture representation are studied and various existing texture defect detection algorithms are reviewed. Three nove
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Yong-Hong-Chen and 陳永宏. "Image Recognition of Surface Defects." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/19127699192033788056.

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碩士<br>國立中興大學<br>物理學系所<br>103<br>We used scanning tunneling microscope(STM) to take surface structure image.We also can use Vienna Ab-initio Simulation Package (VASP) simulate surface structure, respectively. The image of graphene surface and Si(111) -7 × 7 taken from STM and simulated by VASP are reistrated and identified in this work.
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Tu-Hao, Tsai, and 蔡篤豪. "Image Defects of Plasma Display Panel." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/81458325735228453721.

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碩士<br>國立臺灣大學<br>電機工程學研究所<br>89<br>Plasma display panel (PDP) is praised for its large screen size, wide viewing angle, long life, and thinness, etc. It is a promising technology for applications such as high definition television (HDTV) or high-resolution computer workstation monitors. However, the pictures which the PDP displays still have some defects such as the excessive gamma value, the non-continuous gray scale brightness on static frames, and the dynamic false contour on dynamic frames. The elimination of these defects determinates whether the PDP will replace the CRT television. In thi
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Lo, Kai-Hsuan, and 羅凱璇. "Bobbin Defects Inspection Based on Image Analysis." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/588tb6.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>106<br>The textile industry has been an important traditional industry in Taiwan for decades. Recently, the demand for functional textiles has been increasing. Bobbin is the raw material of textiles, and the quality of bobbin directly affects textile product quality. Therefore, the inspection of bobbin defect is a crucial process in fabric manufacturing. While most of the fabric industry has turned to high automatic manufacturing, bobbin defect inspection still relies on human vision. For mass production purpose, manual inspection is always time-consuming, labor-i
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Hung-yu, Liu, and 劉弘于. "Image-based defects inside paper cups and techniques for image processing." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/45216730713950993832.

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碩士<br>明志科技大學<br>電機工程研究所<br>97<br>Automatic optical inspection is applied to explore feasible image processing technique on defect inspection inside paper cup by using computer analysis rather than visual inspection of human beings, and to decide if product is qualified. Generally, automatic optical inspection use CCD camera with different lens so as to make grabbed image clearer. In the context, the depth of field of fisheye lens, standard lens and telephoto lens are discussed respectively, fisheye lens which contains bigger depth of field has better characteristics applied to defect inspectio
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Gao, G. R., and 高國榮. "Image processing based auxiliary system for vision defects." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/6zq5a6.

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碩士<br>亞東技術學院<br>資訊與通訊工程研究所<br>96<br>Facilitated by the exponential advancements in the information technology in the Twenty-first Century, the general public has been instilling an increasing degree of importance in vision as the conduit for exploring the information. Nevertheless, receiving the information from the external world poses a relative degree of difficulty for those visually impaired. Among the visually impaired individuals, however, the totally blind population only accounts for a minor proportion. A majority of the visually impaired population still exhibit a relative degree of v
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Lin, Yi-Wei, and 林奕緯. "Automatic defects classification from AOI images based on image processing and deep learning." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/njf3da.

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Lee, Shu-Hui, and 李淑惠. "Real-time X-ray Image Enhancement and Defects Inspection." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/18378599882861744506.

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碩士<br>元智大學<br>工業工程研究所<br>89<br>X-ray inspection has wide applications in industry, because it can observe the structure inside of an object. X-ray has the characteristics of perspective, scattering, and absorption through the object, so there are important factors that the object density and the X-ray intensity have effects on image quality. If a product consists variety of materials, it would be more uncontrollable of image quality in using X-ray. The focus of this study is an application of defence industry products which have two characteristics. One of the characteristics is to be complex
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Guan-YuLin and 林冠宇. "Infrared thermography detection of CFRP defects and image analysis." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/61464745273962538039.

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碩士<br>國立成功大學<br>機械工程學系碩博士班<br>101<br>Thermography can quickly detect embedded defects of the materials and the application is more and more widely in non-destructive testing. Using a infrared thermal camera with digital image processing and computer systems can obtain a clear thermal image with the location of defects. But there is no effective method of automated detection. In recent years, the proportion of Carbon Fiber Reinforced Polymers (CFRP) used in commercial aircraft is more and more highly, with many advantages like high strength and ease of design. CFRP have less fatigue and corrosi
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Tang, Nai-En, and 唐乃恩. "The Optical and AFM Image Characteristics of AlGaN Surface Defects." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/35881842617641282174.

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碩士<br>國立交通大學<br>電子物理系<br>90<br>The optical and AFM image characteristics of AlGaN surface defects were characterized by atomic force microscopy (AFM), scanning Kelvin microscopy (SKM) and micro-photoluminescence (micro-PL). The AFM image of the surface defects shows an open hexagonal inverted pyramid on the (0001) plane, the so-called “V-defect”, with walls formed by {10-11} planes. The depth of the V-defect is about 300nm and the width is about 1μm. The SKM image revealed that the surface potential of the V-defect is ~0.2V lower than that of the flat region. We suggested that there are accep
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Li, Huang-ming, and 黎晃銘. "Development of an Image Inspection System for OLED Surface Defects." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/63294077016863014438.

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碩士<br>國立臺灣科技大學<br>高分子系<br>97<br>At present, the OLED (Organic Light Emitting Diode) manufacturing industry has not a way of quite accurate OLED surface detection yet. The way of inspect is still by the man-power or by the chromometer primarily. This kind of detection consumes lots of man-power, and makes mistakes easily. Moreover, the tool of detection is quite expensive. In this thesis, an automatic inspection system for the OLED surface defects was developed based on image processing. The OLED surface defects can be divided into three kinds: scratch, luminescent spot and puncture. In image p
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