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Conference on Applications of Digital image processing XX

作者： Ballet, P Rodin, V Tisseau, J Ecole Natl. d'Ingenieurs de Brest Technopôle Brest-Iroise 29608 Brest Cedex CP 15 France

ISBN: (纸本)0819425869

We present a method for detecting concentric strias which can be found in different natural ''objects'' (age-rings of tree, fish otolith growth rings, strias of some minerals,...). One of the major problems encountered during an automatic image processing is the lack of continuity perception in strias. We propose an approach to this continuity perception based on a multiagent system made up of reactive agents. These agents can move around on their environment which consists of an image made up of light and dark rings set out concentrically. Our multiagent system is made up of a set of agents named darkening agents and lightening agents. These agents follow either the light rings (lightening agents) or the dark rings (darkening agents) and act on the image. Their actions aim to reinforce the rings by stressing the contrasts allowing, thus, a reliable detection of these rings, even if they are discontinuous. Each agent has three sensors allowing it to obtain information about the environment. The sensors are made up of unit sensors returning the value of a pixel, The three sensors of an agent are a unit sensor allowing the agent to know if it is located on an already detected stria (sensor on the memory shared by all the agents), two disk-shaped sensors made up of unit sensors (sensors on the image). These two sensors return the sum of their unit sensors. They are located in front of the agent and distant one from the other. Those two disk-shaped sensors are used for determining the movements of the agent and, therefore, for detecting the rings. An agent, indeed, always tries to move where the values returned by the sensors is minimal. The suggested multiagent system has shown great robustness and adaptability for it can detect strias, even if they are discontinuous and the image noisy.

关键词： agent cooperation edge detection multiagent system parallel image processing

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parallelization of Gradient-based Edge Detection Algorithm on Multicore processors 6

Parallelization of Gradient-based Edge Detection Algorithm o...

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6th International Conference on Digital Information, Networking, and Wireless Communications (DINWC)

作者： Atweh, Hanadi Kassem Hamandi, Lama Zekri, Ahmed Zantout, Rached Beirut Arab Univ Dept Math & Comp Sci Beirut Lebanon Amer Univ Beirut Elect & Comp Engn Dept Beirut Lebanon Rafik Hariri Univ Elect & Comp Engn Dept Beirut Lebanon

ISBN: (纸本)9781538639030

Current computers are multi-core, with more than one physical core in one microprocessor chip. Many applications in digital image processing are parallel in nature. Therefore, multi-core processors can be exploited to perform such computations in parallel. In this paper, the standard OpenMP threading library is used to speed-up the edge detection operation on multicore processors. Different partitioning methods of the input image are tested and their effect on the performance of the parallel implementation of the Sobel Edge Detection algorithm is analyzed. It is shown that the horizontal partitioning of the image leads to better performance than vertical partitioning or twodimensional block partitioning. Various numbers of blocks of the image are tested. It is shown that a number of blocks equal to 0.25 the size of the cache line and a number of threads double the number of physical core give the best performance of the parallel Sobel algorithm.

关键词： parallel image processing multithreading Sobel edge detection

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A Novel image Encryption Method to Reduce Decryption Execution Time in Cloud 9

A Novel Image Encryption Method to Reduce Decryption Executi...

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9th Annual IEEE International Systems Conference (SysCon)

作者： Rad, Paul Muppidi, Mohan Jaimes, Aldo S. Agaian, Sos S. Jamshidi, Mo Univ Texas San Antonio Dept Elect & Comp Engn San Antonio TX 78249 USA

ISBN: (纸本)9781479959273

parallel computing on cloud infrastructure had gained tremendous attention and popularity in recent years. In this paper, we propose a new technique to encrypt an image for secure image transmission and parallel decryption using cloud resources. The encoding of the image is done using the FFT conjugate complex property and private random phase key value shared between sender and receiver. First, using FFT complex conjugate property, we construct a two dimensional matrix consisting of real and imaginary portion of the image. Second, we encrypt the complex conjugate matrix using private random phase key value shared between sender and receiver. Detailed simulations have been carried out to test the encryption algorithm. Furthermore, we use cloud resources for the development of an efficient parallel image encryption and decryption algorithm. Significant speedup was achieved using different image size and number of cloud servers.

关键词： image encryption Decryption Cloud computing FFT algorithm parallel image processing image Histogram

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Distributed image processing Using Hadoop and HIPI 5

Distributed Image Processing Using Hadoop and HIPI

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International Conference on Advances in Computing, Communications and Informatics (ICACCI)

作者： Arsh, Swapnil Bhatt, Abhishek Kumar, Praveen LNM Inst Informat Technol Jaipur 302031 Rajasthan India VNIT Comp Sci & Engn Dept Nagpur Maharashtra India

ISBN: (纸本)9781509020287

In the present era, huge amount of data is being produced every single day. A significant portion of this massive data or big data is contributed by images. Besides the amount of data, the size and resolution of individual images is also increasing at a very fast pace, leading to more and more complex image processing algorithms which in turn pose great demand to computation power. This paper provides a solution to one such image processing application which analyzes the image-processing kernels from an industrial application: Organic-Light-Emitting-Diode (OLED) Printing for OLED center detection. The application uses Hadoop and Hadoop image processing Interface(HIPI) for parallelizing the processing. Hadoop provides the parallel processing paradigm, which when used along with HIPI can provide significant performance improvements for processing images.

关键词： image processing OLED Printing Hadoop HIPI parallel image processing

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oRis: Multiagents approach for image processing

oRis: Multiagents approach for image processing

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SPIE Conference on parallel and Distributed Methods for image processing II

作者： Rodin, V Harrouet, F Ballet, P Tisseau, J Technopole Brest Iroise Ecole Natl Ingn Brest F-29608 Brest France

ISBN: (纸本)0819429074

In this article, we present a parallel image processing system based on the concept of reactive agents. This means that, in our system, each agent has a very simple behavior which allows it to take a decision (find out an edge, a region,...) according to its position in the image and to the information enclosed in it. Our system lies in the oRis language, which allows to describe very finely and simply the agents' behaviors. In fact, oRis is an interpreted and dynamic multiagent language. First of all, oRis is an object language with the use of classes regrouping attributes and methods. The syntax is close to the CSS language and includes notions of multiple inheritance, oRis is also an agent language: every object with a method 'main()' becomes an agent. This method is cyclically executed by the system scheduler and corresponds to the agent behavior. We also present an application made with oRis. This application allows to detect concentric striae located on different natural "objects" (age-rings of tree, fish otolith growth rings, striae of some minerals,...). The stopping of the multiagent system is implemented through a technique issued from immunology: the apoptosis.

关键词： multiagent language multiagent system parallel image processing reactive agents striae detection

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Video based parallel Face recognition using Gabor filter on homogeneous distributed systems

Video based Parallel Face recognition using Gabor filter on ...

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IEEE International Conference on Engineering of Intelligent Systems

作者： Ali, Usman Bilal, Muhammad Muhammad Ali Jinnah Univ Islamabad Campus Islamabad Pakistan COMSATS Inst Informat Technol Abbottabad Pakistan

ISBN: (纸本)9781424404568

This research aimed at building a fast video, parallel face recognition system based on the well known Gabor filtering approach. Face recognition is done after face detection in each frame of the video, individually. The master-slave technique is employed as the parallel computing model. Each frame is processed by different slave Personal Computers (PC) attached to the master, which acquire and distribute frames. It is believed that this approach can be used for practical face recognition applications with some further optimization.

关键词： gabor filter parallel image processing cluster computing video based face recognition

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Hospital-integrated parallel cluster for fast and cost-efficient image analysis - Clinical experience and research evaluation

Hospital-integrated parallel cluster for fast and cost-effic...

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Medical Imaging 2001 Conference

作者： Erberich, SG Hoppe, M Jansen, C Schmidt, T Thron, A Oberschelp, W Hosp Univ Technol Aachen RWTH Interdisciplinary Ctr Clin Res Neurosci Neurofunct Imaging Lab Aachen Germany

ISBN: (纸本)0819440094

In the last few years more and more University Hospitals as well as private hospitals changed to digital information systems for patient record, diagnostic files and digital images. Not only that patient management becomes easier. it is also very remarkable how clinical research can profit from Picture Archiving and Communication Systems (PACS) and diagnostic databases, especially from image databases. Since images are available on the finger tip, difficulties arise when image data needs to be processed, e.g. segmented, classified or co-registered, which usually demands a lot computational power. Today's clinical environment does support PACS very well, but real image processing is still under-developed. The purpose of this paper is to introduce a parallel cluster of standard distributed systems and its software components and how such a system can be integrated into a hospital environment. To demonstrate the cluster technique we present our clinical experience with the crucial but cost-intensive motion correction of clinical routine and research functional MRI (fMRI) data, as it is processed in our Lab on a daily basis.

关键词： cluster parallel distributed system fMRI parallel analysis PACS parallel image processing

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LM5000: As a strong mask analyzing tool

LM5000: As a strong mask analyzing tool

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Photomask and Next-Generation Lithography Mask Technology VIII Conference

作者： Shiba, H Kimura, M Saito, Y Takayama, N Matsumura, K Murakami, S Hatta, K NEC Corp Ltd Laser Solut Div NEC Networks Sagamihara Kanagawa Japan

ISBN: (纸本)0819441112

The prompt progress of photomask pattern shrinking leads to the overlooking for significant defects. To improve the defect detection performance, patterns must be observed thoroughly at first. These observations are also important for a total diagnostic of the lithography process. Our developing reticle inspection machine LM5000 is very suitable for such analyses. With LM5000, users are able to point any positions on the reticle very easily, view the images, measure the lengths or widths of the patterns, and the intensity at each pixel. Users are also able to apply various image processing algorithms. To follow the growth of the semiconductor processes, inspection algorithms should be developed within very short terms. LM5000 adopts a special image processing core consisted of "IMAP". It has strong processing power of a super computer class, and it is programmable even by a C-like language. Libraries for development include most of the standard image processing functions. Its flexibility helps us for reducing the development periods of the new algorithms. In this presentation, the functions of the user interface of LM5000 are displayed as a mask analyzing tool, and the effects of the IMAP processing is explained.

关键词： inspection reticle UV parallel image processing algorithms graphical user interface

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Compact real-time 2-D gradient-based analog VLSI motion sensor

Compact real-time 2-D gradient-based analog VLSI motion sens...

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EUROPTO Conference on Advanced Focal Plane Arrays and Electronic Cameras II

作者： Deutschmann, RA Koch, C Tech Univ Munich Walter Schottky Inst D-85748 Garching Germany

ISBN: (纸本)0819428620

In this work we present the first working focal plane analog VLSI sensor for the spatially resolved computation of the 2-D motion field based on temporal and spatial derivatives. Using an adaptive CMOS photoreceptor the temporal derivative and a function of the spatial derivative of the local light intensity are computed. By multiplying these values separately for both spatial dimensions a vector is obtained, which points in the direction of the normal optical flow and whose magnitude for a given stimulus is proportional to its velocity. The circuit consists of only 31 MOSFETs and three capacitors per pixel. We present measurement data from fully functional prototype 2-D pixel arrays for natural stimuli of varying velocity, orientation, contrast and spatial frequency. High direction selectivity even for very low contrast input is demonstrated. As application it is shown how the pixel-parallel architecture of the sensor can favourably be used for real-time computation of the focus of expansion and the axis of rotation. Because of its compactness, its robust operation and its uncritical handling the sensor might be favourably applied in industrial applications.

关键词： analog VLSI motion sensor smart vision sensor parallel image processing real-time computation optical flow machine vision robot vision focus of expansion axis of rotation

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COMBimage: a modular parallel processing framework for pairwise drug combination analysis that quantifies temporal changes in label-free video microscopy movies

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BMC BIOINFORMATICS 2018年第1期19卷 453-453页

作者： Chantzi, Efthymia Jarvius, Malin Niklasson, Mia Segerman, Anna Gustafsson, Mats G. Uppsala Univ Dept Med Sci Canc Pharmacol & Computat Med Uppsala Sweden Uppsala Univ In Vitro Syst Pharmacol Facil SciLifeLab Drug Discovery & Dev Uppsala Sweden Uppsala Univ Rudbeck Lab Dept Immunol Genet & Pathol Uppsala Sweden

BackgroundLarge-scale pairwise drug combination analysis has lately gained momentum in drug discovery and development projects, mainly due to the employment of advanced experimental-computational pipelines. This is fortunate as drug combinations are often required for successful treatment of complex diseases. Furthermore, most new drugs cannot totally replace the current standard-of-care medication, but rather have to enter clinical use as add-on treatment. However, there is a clear deficiency of computational tools for label-free and temporal image-based drug combination analysis that go beyond the conventional but relatively uninformative end point *** is a fast, modular and instrument independent computational framework for in vitro pairwise drug combination analysis that quantifies temporal changes in label-free video microscopy movies. Jointly with automated analyses of temporal changes in cell morphology and confluence, it performs and displays conventional cell viability and synergy end point analyses. The image processing algorithms are parallelized using Google's MapReduce programming model and optimized with respect to method-specific tuning parameters. COMBimage is shown to process time-lapse microscopy movies from 384-well plates within minutes on a single quad core personal *** framework was employed in the context of an ongoing drug discovery and development project focused on glioblastoma multiforme;the most deadly form of brain cancer. Interesting add-on effects of two investigational cytotoxic compounds when combined with vorinostat were revealed on recently established clonal cultures of glioma-initiating cells from patient tumor samples. Therapeutic synergies, when normal astrocytes were used as a toxicity cell model, reinforced the pharmacological interest regarding their potential clinical *** enables, for the first time, fast and optimized pairwise drug combination analyses of temporal ch

关键词： Time-lapse video microscopy Label-free Drug combination analysis Therapeutic synergy MapReduce parallel image processing Systematic parameter optimization Glioblastoma multiforme

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