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检索条件"任意字段=Automation and Inspection Applications of Image Processing Techniques 1977"

共 106 条记录，以下是61-70 订阅

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Planning Coverage Paths on Bathymetric Maps for In-Detail inspection of the Ocean Floor

Planning Coverage Paths on Bathymetric Maps for In-Detail In...

引用

IEEE International Conference on Robotics and automation (ICRA)

作者： Galceran, Enric Carreras, Marc Univ Girona Underwater Robot Res Ctr CIRS Girona Spain

ISBN: (纸本)9781467356411;9781467356435

This paper proposes a coverage path planning (CPP) method for inspection of 3D natural structures on the ocean floor charted as 2.5D bathymetric maps. This task is integral to many marine robotics applications, such as microbathymetry mapping and image photo-mosaicing. We consider an autonomous underwater vehicle (AUV) with hovering capabilities imaging the ocean floor with an orientable sensor, such as a camera or a sonar. While standard lawnmower-type surveys at constant altitude are well-suited for covering effectively planar areas, two major problems arise when tracing such paths over high-relief terrain. First, the sudden depth changes required by such paths imply very costly motions, as moving in the vertical axis is expensive for most AUVs. Second, some time is required to adjust the vehicle depth after a sudden change in the relief, resulting in a varying distance from the target surface which deteriorates the overall quality of the collected imaging data. The method proposed in this paper accounts for these facts and generates different coverage patterns according to terrain's relief, resulting in a well-suited coverage path for imaging tasks. The proposed CPP method is fast and easy to implement, and provides a valuable tool for planning coverage paths in marine environments. We tested the proposed method on a real-world bathymetric dataset of a lava tongue obtained during recent sea trials in the Santorini caldera in Greece and compares favorably to a standard lawnmower-type survey path.

关键词： automatic optical inspection autonomous underwater vehicles bathymetry cameras geophysical image processing image segmentation image sensors marine control motion control oceanographic techniques path planning terrain mapping

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A comprehensive market analysis on camera and illumination sensors for image processing and Machine Vision applications

A comprehensive market analysis on camera and illumination s...

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2010 International Conference on Computational Intelligence and Communication Networks, CICN 2010

作者： Chaki, Ayan Prashant, M. Sen, Pompy Innovation Lab. Tata Consultancy Services Kolkata India

ISBN: (纸本)9780769542546

In the present industrial application space, conventional inspection techniques using manual intervention are getting replaced by automated inspection using image sensors. image sensors have empowered machines with vision and that has led to increased levels of process automation which used to be manually exhaustive. This paper mainly focuses on the comparative study of Machine Vision hardware aspect specifically on cameras and lighting- the technologies in use and their application across different industry verticals. © 2010 IEEE.

关键词： Computer vision

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A Comprehensive Market Analysis on Camera and Illumination Sensors for image processing and Machine Vision applications

A Comprehensive Market Analysis on Camera and Illumination S...

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International Conference on Computational Intelligence and Communication Networks (CICN)

作者： Ayan Chaki M. Prashant Pompy Sen Innovation Lab Kolkata Tata Consultancy Services Limited India Tata Consultancy Services Innovation Lab Kolkata

关键词： Machine vision Lighting Cameras CMOS integrated circuits Charge coupled devices Sensors Industries

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低对比及非均匀背景下玻璃基板瑕疵气泡之自动化光学检测

低对比及非均匀背景下玻璃基板瑕疵气泡之自动化光学检测

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作者：许正全中原大学

学位级别：硕士

摘要薄型平面显示器在愈来愈朝向大尺寸及细致化的两极需求之下，其制程便面临更难以掌控品质及良率的局面；然而，尺寸愈大则制造过程中发生瑕疵的机率就愈高；品质要求愈精细则瑕疵的容许度就愈低。因此所需要各制程的瑕疵自动化检... 详细信息

摘要薄型平面显示器在愈来愈朝向大尺寸及细致化的两极需求之下，其制程便面临更难以掌控品质及良率的局面；然而，尺寸愈大则制造过程中发生瑕疵的机率就愈高；品质要求愈精细则瑕疵的容许度就愈低。因此所需要各制程的瑕疵自动化检测能力也就随之提高，同时更需要高速及影像解析能同时提升，但往往这两项的要求却是互相背离的，因为解析能愈高则检测范围就愈小，会导致整体检测时间随之增加；反之，要缩减整体检测时间，就必须降低影像检测的解析能。制造一个完整的薄型平面显示器所需要的材料零组件及制程是非常众多且精密繁琐的，而其中一项关键性材料–玻璃基板，是需要较高技术门槛的一项零组件材料，因为需要符合其基本特性要求之外，特别是要消除玻璃体中的不纯物、不均质以及气泡。自动化光学检测技术在工业界的应用已经非常的广泛，诸如印刷电路板的孔径及线宽线距量测、表面点胶均匀度检测、自动影像选边送料机、金属表面电镀均匀检测等等。一般的光学检测方法皆是利用其高对比的边界且在均匀的背景下进行影像处理即可以计算或分析出边界座标或相对距离等特征，若影像的表现在非均匀的背景且特征是低对比的情况下，则其上述的检测方法则无法有效进行检测或量测的。本论文将提出一种影像辨识演算法，针对低对比且非均匀背景下玻璃基板瑕疵气泡的检测，以有效提升玻璃基板瑕疵气泡的检出率。并借由本研究发展出一套可以安装至一般倍率的工具显微镜下使用的影像自动化光学检测暨辨识系统，以符合玻璃基板制造厂及薄型平面显示器制造厂的需求。

关键词：玻璃基板自动化光学检测影像辨识瑕疵气泡

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image processing techniques for Quality inspection of Gelatin Capsules in Pharmaceutical applications

Image Processing Techniques for Quality Inspection of Gelati...

引用

10th International Conference on Control, automation, Robotics and Vision

作者： Islam, M. J. Ahmadi, M. Sid-Ahmed, M. A. Univ Windsor Dept Elect & Comp Engn Windsor ON N9B 3P4 Canada

ISBN: (纸本)9781424422869

Machine vision systems provide quality control and real-time feedback for industrial processes, overcoming physical limitations and subjective judgment of humans. In this paper, the image processing techniques for developing low-cost machine vision system for pharmaceutical capsule inspection is explored. By developing image processing techniques, and using PCs, custom USB 2.0 cameras with minimal hardware, a low-cost flexible system is developed. This paper discusses the two-part gelatin capsule inspection system that belongs to USB camera 2.0 and associated hardware, the PCs to acquire the image data of the capsule, image processing techniques using border tracing and approximating the capsule to a circle to perform inspection and a custom system controller to pass the accepted and rejected capsules to the appropriate bin.

关键词： Border tracing Edge detection image enhancement Segmentation Quality inspection

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Matching Book-Spine images for Library Shelf-Reading Process automation

Matching Book-Spine Images for Library Shelf-Reading Process...

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IEEE International Conference on automation Science and Engineering

作者： Lee, D. J. Chang, Yuchou Archibald, James K. Pitzak, Clint Brigham Young Univ Dept Elect & Comp Engn Provo UT 84602 USA

ISBN: (纸本)9781424420223

Machine vision has become an important visual inspection technology for many automation applications. Using machine vision for automation can reduce operating costs and increase efficiency and accuracy. This paper presents an image matching technique designed specifically for improving the library inventory (shelf-reading) process. In contrast with more complex color image matching techniques, the proposed method quantizes color images of book spines into a limited number of color indices and performs image matching on the quantized color index images. This approach simplifies and speeds up the processing and improves the overall inventory process. The potential performance of this robust color quantization and image matching technique is demonstrated by the results of preliminary experiments.

关键词： Computer vision

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image processing techniques for quality inspection of gelatin capsules in pharmaceutical applications

Image processing techniques for quality inspection of gelati...

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International Conference on Control, automation, Robotics and Vision (ICARCV)

作者： M.J. Islam M. Ahmadi M.A. Sid-Ahmed Department of Electrical and Computer Engineering University of Windsor Windsor ONT Canada

关键词： image processing inspection Pharmaceuticals Machine vision Personal communication networks Universal Serial Bus Cameras Hardware Quality control Real time systems

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Digital image processing applied in drugs industry for detection of broken aspirin tablets

Digital image processing applied in drugs industry for detec...

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International Spring Seminar on Electronics Technology

作者： Stefan Oprea Ioan Lita Mariana Jurianu Daniel Alexandru Visan Ion Bogdan Cioc Electronics Communications and Computers Department University of Pitesti Romania

Interest in digital image processing methods stems from two principal areas: improvement of pictorial information for human interpretation and processing of image data for storage, transmission, and representation for autonomous machine perception. Today, there is no area of technical endeavor that is not impacted in same way by digital image processing. A major area of imaging is in automated visual inspection of manufactured goods. A typical image processing task with products like this is to inspect them for missing or wrong parts. Detecting some anomalies is a major theme of industrial inspection that includes a large area of products. The proposed paper presents an application for detection of broken aspirin tablets using image processing techniques. The application was implemented in an object oriented image processing software. The processing scheme can be adapted for other practical applications from other domains.

关键词： Digital images Drugs Aspirin image processing Application software image storage inspection Humans Manufacturing automation Manufacturing industries

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Matching Book-Spine images for Library Shelf-Reading Process automation

Matching Book-Spine Images for Library Shelf-Reading Process...

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2008 IEEE International Conference on automation Science and Engineering (CASE 2008), vol.2

作者： D. J. Lee Yuchou Chang James K. Archibald Clint Pitzak Electrical and Computer Engineering Department Brigham Young University Provo UT USA

关键词： Bridges USA Councils automation Conferences

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Grape leaf disease detection from color imagery using hybrid intelligent system

Grape leaf disease detection from color imagery using hybrid...

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5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2008), vol.1

作者： A. MEUNKAEWJINDA P. KUMSAWAT K. ATTAKITMONGCOL A. SRIKAEW Robotics & Automation Research Unit for Real-World APplications Suranaree University of Technology Nakhon Ratchasima THAILAND

Vegetables and fruits are the most important export agricultural products of Thailand. In order to obtain more value-added products, a product quality control is essentially required. Many studies show that quality of agricultural products may be reduced from many causes. One of the most important factors of such quality is plant diseases. Consequently, minimizing plant diseases allows substantially improving quality of the products. This work presents automatic plant disease diagnosis using multiple artificial intelligent techniques. The system can diagnose plant leaf disease without maintaining any expertise once the system is trained. Mainly, the grape leaf disease is focused in this work. The proposed system consists of three main parts: (i) grape leaf color segmentation, (ii) grape leaf disease segmentation, and (iii) analysis & classification of diseases. The grape leaf color segmentation is pre-processing module which segments out any irrelevant background information. A self-organizing feature map together with a back-propagation neural network is deployed to recognize colors of grape leaf. This information is used to segment grape leaf pixels within the image. Then the grape leaf disease segmentation is performed using modified self-organizing feature map with genetic algorithms for optimization and support vector machines for classification. Finally, the resulting segmented image is filtered by Gabor wavelet which allows the system to analyze leaf disease color features more efficient. The support vector machines are then again applied to classify types of grape leaf diseases. The system can be able to categorize the image of grape leaf into three classes: scab disease, rust disease and no disease. The proposed system shows desirable results which can be further developed for any agricultural product analysis/inspection system.

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