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image processing of weld pool and keyhole in Nd：YAG laser welding based on edge predicting

China Welding 2011年第3期20卷 67-70页

作者：高进强秦国梁杨家林何建国张涛武传松 Key Lab for Liquid-Solid Structure Evolution and Materials Processing （Ministry of Education） Shandong University Jinan 250061 Institute of Machinery Manufacturing Technology China Academy of Engineering Physics

Laser welding is one of high efficiency, high energy density welding methods. Quality control should be applied to ensure good welding quality. Weld pool and keyhole contains abundant information of welding quality. Good image processing algorithm is necessary in quality control system based on visual sensing. Aiming at the image captured by a coaxial visual sensing system for laser welding, an image processing algorithm is designed. An edge predicting method is proposed in image processing algorithm which is based on the fact that the local shape of weld pool can be fitted to a circle. The results show that the algorithm works well. It lays solid foundation for further quality control in laser welding.

关键词： laser welding weld pool edge image processing algorithm edge predicting

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Fast ultrasound signal and image processing on a tablet device

Fast ultrasound signal and image processing on a tablet devi...

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IEEE International Ultrasonics Symposium (IUS)

作者： Kiss, Gabriel Khan, Naiad Hossain Tegnander, Eva Eik-Nes, Sturla H. Torp, Hans Norwegian Univ Sci & Technol Dept Circulat & Med Imaging N-7034 Trondheim Norway Norwegian Univ Sci & Technol MI Lab N-7034 Trondheim Norway St Olavs Hosp Natl Ctr Fetal Med Trondheim Norway Norwegian Univ Sci & Technol Childrens & Womens Hlth Dept Lab Med N-7034 Trondheim Norway

ISBN: (纸本)9781479981823

During the last decade, portable ultrasound devices have been proven beneficial in a variety of situations (e.g. OB/GYN, point of care and cardiovascular applications). The aim of this work is to investigate the feasibility of implementing standard signal and image processing algorithms on a tablet device, instead of the scanner's backend unit. Furthermore, the additional benefit of using the tablet's graphical processing unit to offload the CPU intensive tasks and balance the battery consumption was tested. A plugin for streaming data over a wired or wireless TCP/IP connection from an ultrasound scanner was implemented and data sent to a tablet device which runs the image and signal processing algorithms. The use of compute shaders for further optimizations was investigated. The prototype was tested by midwives, both experienced and inexperienced in the use of ultrasound, in Norway and South Africa. Afterwards they were asked to fill out standard system usability scale forms. Conclusively, most of the backend components of an ultrasound scanner can be implemented on a tablet's GPU. Compute shaders have a significant impact on battery consumption, which can be reduced by a factor of up to 3 and as such significantly extend the scanning time of a portable system.

关键词： biomedical equipment biomedical ultrasonics medical image processing transport protocols CPU intensive tasks battery consumption cardiovascular applications graphical processing unit image processing algorithms portable system portable ultrasound devices signal processing algorithms tablet device ultrasound image processing ultrasound scanner ultrasound signal processing wireless TCP/IP connection Doppler effect image color analysis Message systems Prototypes Standards Streaming media Ultrasonic imaging ultrasound scanner portable system Computer based information systems image processing algorithm Signal processing algorithms Medical device image colour analysis biomedical ultrasonics Streaming Video Ultrasonography Medical image processing transport protocols Doppler effect PROTOTYPE

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AN IMPLEMENTATION FOCUSED APPROACH TO TEACHING image processing AND MACHINE VISION - FROM THEORY TO BEAGLEBOARD 6

AN IMPLEMENTATION FOCUSED APPROACH TO TEACHING IMAGE PROCESS...

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6th European Embedded Design in Education and Research Conference (EDERC)

作者： Morison, Gordon Jenkins, Mark David Buggy, Tom Barrie, Peter Glasgow Caledonian Univ Sch Engn & Built Environm Glasgow G4 0BA Lanark Scotland

ISBN: (纸本)9781479968435

The explosion of multimedia applications within embedded devices has ensured that image processing and Machine Vision has now become a mainstream subject within most Computer Science and Electronic Engineering curricula. Yet often there exists a disconnection between the rapid prototyping tools that are taught within the laboratory to demonstrate concepts and those that are used for actual deployment in a stand-alone product. This calls for an approach whereby students are exposed to multiple levels of abstraction, in order to align the skill sets of our students with the requirements and expectations of industry. This paper describes the development of a senior level undergraduate course that introduces machine vision and image processing algorithms and implementation topics within the larger context of embedded computing. The key focus is that the student appreciates the theoretical concepts but is also capable of implementing them on embedded processors for prototyping or production.

关键词： Computervision Educationalinstitutions Laboratories MATLAB Machinevision robot vision MATLAB level of abstraction image processing Students computer science Embedded device image processing algorithm MULTIMEDIA APPLICATION Disconnection Explosions

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Correcting lateral chromatic aberrations by image processing

Correcting lateral chromatic aberrations by image processing

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Conference on International Optical Design

作者： Utsugi, Akihiko Ishiga, Kenichi Nikon Inc Core Technol Ctr Shinagawa Ku Tokyo Japan

ISBN: (纸本)9780819480828

We have developed an image processing algorithm that reduces lateral chromatic aberration. It has been implemented in Nikon digital single-lens-reflex cameras and application software. We have developed the aberration detection method which analyzes capture images and detect the aberrations of the image without lens information. Moreover, we have developed the aberration correction method optimized for raw images, which are mosaic images with Bayer color filter array. We also have developed the correction method optimized for in-camera processed images, whose color shift structures are distorted by in-camera processing.

关键词： processing aberration optimized Applications software color cast aberration Nikon CHROMATIC ABERRATION Process cameras images image processing algorithm Lateral imagery (Psychotherapy) aberrations image processing

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Dark Channel Prior based image De-hazing: A Review 5

Dark Channel Prior based Image De-hazing: A Review

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5th International Conference on Information Science and Technology (ICIST)

作者： Liu, Shilong Rahman, M. A. Wong, C. Y. Lin, S. C. F. Jiang, G. Kwok, Ngaiming Univ New South Wales Sch Mech & Mfg Engn Sydney NSW 2052 Australia

ISBN: (纸本)9781479974894

Digital images captured under poor environments are vulnerably degraded in their capacities to convey adequate amount of information to the viewer or computer-based processes. One of the common causes affecting the quality of outdoor images can be traced to that coming from atmospheric condensations such as fog or haze. image processing algorithms, hence, had been developed to address the de-hazing problem in order to recover the scene information. Approaches based on the dark channel prior, in particular, had initiated a large number of research activities because of its satisfactory performance and possibilities for further improvements and applications. In this paper, a review on methods based on the dark channel prior is presented. The principle of restoration by a ray transmission model applied in image de-hazing is examined together with a classification of the models commonly employed. The difficulties encountered in the implementation of de-hazing algorithms are addressed and discussed. A summary of critical issues and a discussion of future trends are also included in this review.

关键词： Research Activities images imagery (Psychotherapy) Viewer Device Component Digital images NEBULISED fogs fog image darkness image processing algorithm restoration

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Local versus global features for content-based image retrieval

Local versus global features for content-based image retriev...

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IEEE Workshop on Content-Based Access of image and Video Libraries

作者： Shyu, CR Brodley, CE Kak, AC Kosaka, A Aisen, A Broderick, L Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA

ISBN: (纸本)0818685441

It is now recognized in many domains that content-based image retrieval (CBIR) from a database of images cannot be carried out by using completely automated approaches. One such domain is medical radiology for which the clinically useful information In an image typically consists of gray level variations in highly localized regions of the image. Currently, it is not possible to extract these regions by automatic image segmentation techniques. To address this problem, we have implemented a human-in-the-loop (a physicican-in-the-loop: more specifically) approach in which the human delineates the pathology bearing regions (PBR) and a set of anatomical landmarks of the image at the time the image is entered into the database. From rite regions thus marked, our approach applies low-level computer vision and image processing algorithms to extract features related to the variations of gray scale, texture, shape, etc. The extracted features create an index that characterizes the image. To form an image-based query the physician first marks the PBR's. The system then extracts the relevant image features, computes the distance of the query image to all image indices in the database, and retrieves the n most similar images. Our approach is based on the assumption that medical image characterization must contain features local to the PBR's. The focus of this paper is to assess the utility of localized versus global features for the domain of HRCT images of the lung, and to evaluate the system's sensitivity to physician subjectivity in delineating the PBR's.

关键词： content-based image retrieval image Database Otolaryngologists image processing algorithm image segmentation anatomical landmarks image feature gray level image retrieval Human

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Machine Vision and image processing for Automated Cell Injection

Machine Vision and Image Processing for Automated Cell Injec...

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IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications

作者： Wang, W. H. Hewett, D. Hann, C. E. Chase, J. G. Chen, X. Q. Univ Canterbury Dept Mech Engn Christchurch 1 New Zealand

ISBN: (纸本)9781424423675

This paper presents image processing algorithms for cell structure recognition, which provides the desired deposition destinations without human interference for an automated cell injection system. Adherent cells (endothelial cells) are the main focus. The surface and shadow information of the nucleoli of endothelial cells is used to extract their locations, which subsequently produce a desired deposition destination inside the nucleus by Delaunay triangulation. 436 nucleoli were 92% correctly recognized, paving the way for an automated adherent cell injection system to be developed.

关键词： Injection systems robot vision image processing Automation image processing algorithm Human Activities mesh generation Endothelial Cells Cells adherent cell

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Strategies for optimizing image processing by genetic and evolutionary computation

Strategies for optimizing image processing by genetic and ev...

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International Symposium on Multimedia Software Engineering

作者： Shimodaira, H Bunkyo Univ Fac Informat & Commun Chigasaki Kanagawa 2538550 Japan

ISBN: (纸本)0769509339

In this paper;we examine the results of major previous attempts to apply genetic and evolutionary computation (GEC) to image processing. In many problems, the accuracy (quality) of solutions;obtained by GEC-based methods is better than that obtained by other methods such as conventional methods, neural networks and simulated annealing. However the computation time required is satisfactory in some problems, whereas it is unsatisfactory in other problems. We consider the current problems of GEC-based methods and present the following measures to achieve still better performance: (1) utilizing competent GECs, (2) incorporating other search algorithms such as local hill climbing algorithms, (3) hybridizing with conventional image processing algorithms (4) modeling the given problem with as smaller parameters as possible, and (5) using parallel processors to evaluate the fitness function.

关键词： evolutionary algorithm image processing concurrent processor SEARCHING algorithm computational time Neural network image processing algorithm

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B3: A plug-n-play Internet enabled platform for real time image processing 14

B3: A plug-n-play Internet enabled platform for real time im...

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14th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA)

作者： Aggarwal, Ankit Gandhi, Gaurav MLabs Res New Delhi India

ISBN: (纸本)9781479960071

A plug-n-play internet enabled platform for real time simulation of image processing algorithms (like CNN) is demonstrated on the Bit by Bit platform. The prototyping platform uses Raspberry Pi, thereby enabling collaboration and sharing of the image processing simulation experiments and results over the internet. These algorithms can be applied to the real time captured images and results are displayed instantly over the internet or via email.

关键词： Internets real-time image processing Binary digits Platform real-time simulation image processing algorithm image processing electronic mail

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image processing system for vidicon-based radiation-resistant cameras 6

Image processing system for vidicon-based radiation-resistan...

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Conference on Optics, Photonics and Digital Technologies for Imaging Applications VI

作者： Kolesnikova, Daria V. ITMO Univ St Petersburg Russia

ISBN: (数字)9781510634794

ISBN: (纸本)9781510634794

Video surveillance systems for the main production processes at nuclear power plants are an important research topic in our time. Reliability, quality, and radiation resistance - are among the main fundamental requirements for the created products. Inspection of many areas that are important for safe operation can be carried out only with the help of TV cameras based on the vidicon tube receiver, which form only a grayscale image. The ability to convert a grayscale image obtained with radiation-tolerant television cameras into a color image will significantly increase the reliability and information content of the control, which will allow an objective assessment of the condition of the equipment, and as a result will reduce the risk of emergency situations. The solution proposed in the work is a technique for converting grayscale image obtained with radiation-tolerant cameras based on vidicon tube receiver into color one. One of the main characteristics of the vidicon is its spectral characteristic, which is determined by the device and the properties of the photographic target.

关键词： Vidicon video-survellance systems radiation conversion of grayscale image image processing algorithm radiation-tolerant cameras object lighting nuclear power plants

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