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Conference on image processing - algorithms and systems XII

作者： Rubel, Aleksey S. Lukin, vladimir v. Egiazarian, Karen O. Natl Aerosp Univ UA-61070 Kharkov Ukraine Tampere Univ Technol FIN 33101 Tampere Finland

ISBN: (纸本)9780819499363

Similar blocks (patches) search plays an important role in image processing. However, there are many factors making this search problematic and leading to errors. Noise in images that arises due to bad acquisition conditions or other sources is one of the main factors. Performance of similar patch search might make worse dramatically if noise level is high and/or if noise is not additive, white and Gaussian. In this paper, we consider the influence of similarity metrics (distances) on search performance. We demonstrate that robustness of similarity metrics is a crucial issue for performance of similarity search. Two models of additive noise are used: AWGN and spatially correlated noise with a wide set of noise standard deviations. To investigate metric performance, five test images are used for artificially inserted group of identical blocks. Metric effectiveness evaluation is carried out for nine different metric (including several unconventional ones) in three domains (one spatial and two spectral). It is shown that conventional Euclidian metric might be not the best choice which depends upon noise properties and data processing domain. After establishing the best metrics, they are exploited within non-local image denoising, namely the BM3D filter. This filter is applied to intensity images of the database TID2008. It is demonstrated that the use of more robust metrics instead of classical ones (Euclidean) in BM3D filter allows improving similar block search and, as a result, provides better results of image denoising for the case of spatially correlated noise.

关键词： search similar blocks metric grayscale images BM3D filter spatially correlated noise

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Embedding of iris data to hand vein images using watermarking technology to improve template protection in biometric recognition

Embedding of iris data to hand vein images using watermarkin...

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International Conference on Electronics, Communication and Computing Technologies (ICECCT)

作者： N. Lalithamani M. Sabrigiriraj Department of Computer Science and Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Amritanagar (PO) Ettimadai Coimbatore Department of Electronics and Communication Engineering SVS College of Engineering Arasamplayam Coimbatore

Biometric recognition is noteworthy method for recognition of person in recent years. Here, a common concern is biometric security which is the privacy issues derived from storage and misuses of the template data. In order to handle this issue, researches have proposed different algorithms to be confronted by security of biometric systems. Two major ways are, (1) Encryption, and (2) watermarking by securing biometric images and templates. In this paper, we utilise a watermarking technology to improve the template security in biometric authentication. According to, two modalities such as, iris and hand vein is taken to preserve the characteristics of liveliness and permanency. Our proposed technique for embedding of iris data to hand vein images using watermarking technology to improve template protection in biometric recognition is done based on the following steps, i) pre-processing of iris and hand vein images, ii) iris template extraction, iii) vein extraction, iv) Embedding of iris pattern to vein images based on region of interest, v) Storing embedded images. In the recognition phase, iris pattern is extracted from the embedded image and then, matching is done with query images. The final decision of authentication is done based on the product rule-based score level fusion. The implementation is done using MATLAB and the performance of the technique is analysed with FAR, FRR and accuracy.

关键词： Biomedical imaging veins Authentication image recognition Programmable logic arrays Biological system modeling

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Evolving intelligent algorithms for the modelling of brain and eye signals

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APPLIED SOFT COMPUTING 2014年第PART B期14卷 259-268页

作者： de Jesus Rubio, Jose Inst Politecn Nacl Secc Estudios Posgrad & Invest ESIME Azcapotzalco Mexico City 02250 DF Mexico

In this paper, the modelling problem of brain and eye signals is considered. To solve this problem, three important evolving and stable intelligent algorithms are applied: the sequential adaptive fuzzy inference system (SAFIS), uniform stable backpropagation algorithm (SBP), and online self-organizing fuzzy modified least-squares networks (SOFMLS). The effectiveness of the studied methods is verified by simulations. (C) 2013 Elsevier B. v. All rights reserved.

关键词： Evolving intelligent systems Stable intelligent systems Modelling Brain signals Eye signals

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An Improved Hough Transform-Based Fingerprint Alignment Approach 1

An Improved Hough Transform-Based Fingerprint Alignment Appr...

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Conference on First International image processing, Applications and systems

作者： Mlambo, Cynthia S. Nelwamondo, Fulufhelo v. Mathekga, Mmamolatelo E. Univ Johannesburg Dept Elect & Elect Engn Sci Johannesburg South Africa CSIR Pretoria South Africa

ISBN: (纸本)9781479970698

An improved Hough Transform based fingerprint alignment approach is presented, which improves computing time and memory usage with accurate alignment parameter ( rotation and translation) results. This is achieved by studying the strengths and weaknesses of existing Hough Transform based fingerprint alignment algorithms, and combining the strengths to an improved approach. The results of alignment parameters are checked manually for each image after alignment. The experimental results indicated that the improved approach improves accuracy at a less computing time and memory usage. The experiments were performed using FvC2000 and FvC2004 databases as there are different impressions of fingerprints that represent possible fingerprint rotations and translations.

关键词： Alignment parameters Hough Transform minutiae points memory usage computing time

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Test bed for real-time image acquisition and processing systems based on FlexRIO, Camera Link, and EPICS

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FUSION ENGINEERING AND DESIGN 2014年第5期89卷 633-637页

作者： Barrera, E. Ruiz, M. Sanz, D. vega, J. Castro, R. Juarez, E. Salvador, R. Univ Politecn Madrid Grp Invest Instrumentac & Acust Aplicada E-28040 Madrid Spain Asociac EURATOM CIEMAT Fus Madrid Spain Univ Politecn Madrid Ctr Invest Tecnol Software & Sistemas Multimedia E-28040 Madrid Spain

image diagnostics are becoming standard ones in nuclear fusion. At present, images are typically analyzed off-line. However, real-time processing is occasionally required (for instance, hot-spot detection or pattern recognition tasks), which will be the objective for the next generation of fusion devices. In this paper, a test bed for image generation, acquisition, and real-time processing is presented. The proposed solution is built using a Camera Link simulator, a Camera Link frame-grabber, a PXIe chassis, and offers software interface with EPICS. The Camera Link simulator (PCIe card PCIe8 Dva C-Link from Engineering Design Team) generates simulated image data (for example, from video-movies stored in fusion databases) using a Camera Link interface to mimic the frame sequences produced with diagnostic cameras. The Camera Link frame-grabber (FlexRIO Solution from National Instruments) includes a field programmable gate array (FPGA) for image acquisition using a Camera Link interface;the FPGA allows for the codification of ad-hoc image processing algorithms using LabvIEW/FPGA software. The frame grabber is integrated in a PXIe chassis with system architecture similar to that of the ITER Fast Controllers, and the frame grabber provides a software interface with EPICS to program all of its functionalities, capture the images, and perform the required image processing. The use of these four elements allows for the implementation of a test bed system that permits the development and validation of real-time image processing techniques in an architecture that is fully compatible with that of the ITER Fast Controllers. This paper provides a specific example of a pattern search in a movie, its real-time implementation, and a performance analysis of the entire platform. (C) 2014 Elsevier B.v. All rights reserved.

关键词： Real-time image processing FlexRIO FPGA EPICS Camera Link

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Automatic Optic Disc Detection in Digital Fundus images Using image processing Techniques

Automatic Optic Disc Detection in Digital Fundus Images Usin...

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International Conference on Information Communication and Embedded systems (ICICES)

作者： Akhade, Snehal B. Deshmukh, v. U. Deosarkar, S. B. Univ Pune VPCOE Baramati Dept Elect & Telecommun Engn Baramati India

ISBN: (纸本)9781479938346

Optic disc (OD) is an important part of the eye. In developing systems, automatic OD detection is an important step for automated diagnosis of various serious ophthalmic diseases like Diabetic retinopathy, Glaucoma and hypertension, etc. The variation of intensity within the OD and intensities close to the OD boundary are the major hurdle in automated OD detection. General edge detection algorithms are frequently unsuccessful to segment the OD because of this. Complexity increases due to the presence of blood vessels. This paper presents a simple method for OD segmentation by using techniques like Principal Component Analysis (PCA), Mathematical Morphology and Circular Hough Transform. PCA used for good presentation of the input image and mathematical morphology is used to remove blood vessels from the image. Circular Hough Transform is used for boundary segmentation.

关键词： Diabetic retinopathy glaucoma optic disc principal component analysis

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Pulsed thermographic inspection of CFRP structures: experimental results and image analysis tools

Pulsed thermographic inspection of CFRP structures: experime...

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Conference on Smart Sensor Phenomena, Technology, Networks, and systems Integration

作者： Theodorakeas, P. Avdelidis, N. P. Ibarra-Castanedo, C. Koui, M. Maldague, X. Natl Tech Univ Athens Sch Chem Engn Dept Mat Sci & Engn Zografou Campus Athens 15780 Greece Univ Laval Dept Elect & Comp Engn Comp Vis & Syst Lab Quebec City PQ G1V 0A6 Canada

ISBN: (纸本)9780819499882

In this study, three different CFRP specimens with internal artificial delaminations of various sizes and located at different depths were investigated by means of Pulsed Thermography (PT) under laboratory conditions. The three CFRP panels, having the same thickness and defects characteristics but with a different shape (planar, trapezoid and curved), were assessed after applying various signal processing tools on the acquired thermal data (i.e. Thermographic Signal Reconstruction, Pulsed Phase Thermography and Principal Component Thermography). The effectiveness of the above processing tools was initially evaluated in a qualitative manner, comparing the imaging outputs and the information retrieval in terms of defect detectability enhancement and noise reduction. Simultaneously, the produced defect detectability was evaluated through Signal-to-Noise Ratio (SNR) computations, quantifying the image quality and the intensity contrast produced between the defected area and the adjacent background area of the test panel. From the results of this study, it can be concluded that the implementation of PT along with the application of advanced signal processing algorithms can be a useful technique for NDT assessment, providing enhanced qualitative information. Nevertheless, SNR analysis showed that despite the enhanced visibility resulting from these algorithms, these can be properly applied in order to retrieve the best possible information according to the user's demands.

关键词： pulsed thermography CFRP defect assessment image analysis thermographic signal processing Signal-to-Noise ratio

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SLStudio: Open-Source Framework for Real-Time Structured Light 4

SLStudio: Open-Source Framework for Real-Time Structured Lig...

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International Conference on image processing Theory, Tools and Applications (IPTA)

作者： Wilm, Jakob Olesen, Oline v. Larsen, Rasmus Tech Univ Denmark Dept Appl Math & Comp Sci Bldg 321 DK-2800 Lyngby Denmark

ISBN: (纸本)9781479964635

An open-source framework for real-time structured light is presented. It is called "SLStudio", and enables real-time capture of metric depth images. The framework is modular, and extensible to support new algorithms for scene encoding/decoding, triangulation, and aquisition hardware. It is the aim that this software makes real-time 3D scene capture more widely accessible and serves as a foundation for new structured light scanners operating in real-time, e.g. 20 depth images per second and more. The use cases for such scanners are plentyfull, however due to the computational constraints, all public implementations so far are limited to offline processing. With "SLStudio", we are making a platform available which enables researchers from many different fields to build application specific real time 3D scanners. The software is hosted at http://***/(similar to)jakw/slstudio

关键词： images acquisition systems and information extractionm image processing tools image and video processing computer vision

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Design of a Krill Herd Algorithm based Adaptive Channel Equalizer

Design of a Krill Herd Algorithm based Adaptive Channel Equa...

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International Symposium on Intelligent Signal processing and Communication systems (ISPACS)

作者： Pandey, Saurav Patidar, Rohan George, Nithin v. Indian Inst Technol Guwahati Dept Chem Gauhati Assam India Indian Inst Technol Gandhinagar Dept Elect Engn Gandhinagar Gujarat India

ISBN: (纸本)9781479961207

This paper presents the design of an adaptive channel equalizer which is based on the recently proposed krill herd (KH) algorithm. The channel equalization problem, which is conventionally solved using gradient descent approaches, has been formulated as an evolutionary computing (EC) algorithm based optimization task. The performance of the proposed scheme has been compared with that obtained using other EC based equalizers and the KH algorithm based equalizer has been shown to offer improved channel equalization over the other schemes.

关键词： adaptive equalisers evolutionary computation gradient methods telecommunication channels EC based equalizer KH algorithm based equalizer Krill Herd algorithm based adaptive channel equalizer channel equalization evolutionary computing algorithm based optimization task gradient descent approache Adaptive equalizers Algorithm design and analysis Bit error rate Optimization Signal processing algorithms Signal to noise ratio channel equalization adaptive equalisers Algorithm design and analysis Signal processing algorithms signal to noise ratios Communication channels gradient methods evolutionary algorithm Bit error rate Equalizers HELIOS DEvICES Euphausiacea

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Synthetic aperture radar at millimeter wavelength for UAv surveillance applications

Synthetic aperture radar at millimeter wavelength for UAV su...

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IEEE International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI)

作者： M. Caris S. Stanko S. Palm R. Sommer N. Pohl Fraunhofer Institute for High Frequency Physics and Radar Techniques FHR Wachtberg Germany

The airborne monitoring of scenes using unmanned aircrafts is becoming increasingly important. Several types of airborne sensors - in the optical, infrared or millimeter wave spectrum - are available for the different platforms. Beside the all-weather suitability of the sensors, the deployment scenarios, often also demand for the ability to look through dust clouds, smoke, and fog. The only sensor, which is capable to cope with such environmental restrictions and is able to deliver high-resolution images, is the synthetic aperture radar (SAR). In this paper we focus on miniaturized SAR systems which were developed and optimized for utilization in a UA v (unmanned aerial vehicle) with a low loading capacity. This not only requires a compact and light radar sensor but the processing also has to cope with the unstable flight conditions of a small aircraft. Therefore, a high-precision inertial measurement unit (IMU) and motion compensating SAR-algorithms are needed. Thanks to the utilization of a high transmit frequency of either 35 GHz or 94 GHz, the sensors are suitable for the detection of small-scale objects. A very high resolution of 15 cm × 15 cm can be achieved when using modern FMCW (frequency modulated continuous wave) generation with a high bandwidth (up to 1 GHz) in combination with small antennas.

关键词： image resolution Monitoring

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