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Inspection and analysis of the walls of fluid filled tubes by active electrolocation - a biomimetic approach

Inspection and analysis of the walls of fluid filled tubes b...

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conference on Bioinspiration, Biomimetics, and Bioreplication

作者： Gottwald, Martin Mayekar, Kavita Reiswich, Vladislav Bousack, Herbert Damalla, Deepak Biswas, Shubham Metzen, Michael G. von der Emde, Gerhard Univ Bonn Inst Zool Endenicher Allee 11-13 D-53115 Bonn Germany Forschungszentrum Julich Inst Bio & Nnaosyst D-52425 Julich Germany

ISBN: (纸本)9780819485373

During their nocturnal activity period, weakly electric fish employ a process called "active electrolocation" for navigation and object detection. They discharge an electric organ in their tail, which emits electrical current pulses, called electric organ discharges (EOD). Local EODs are sensed by arrays of electroreceptors in the fish's skin, which respond to modulations of the signal caused by nearby objects. Fish thus gain information about the size, shape, complex impedance and distance of objects. Inspired by these remarkable capabilities, we have designed technical sensor systems which employ active electrolocation to detect and analyse the walls of small, fluid filled pipes. Our sensor systems emit pulsed electrical signals into the conducting medium and simultaneously sense local current densities with an array of electrodes. Sensors can be designed which (i) analyse the tube wall, (ii) detect and localize material faults, (iii) identify wall inclusions or objects blocking the tube (iv) and find leakages. Here, we present first experiments and FEM simulations on the optimal sensor arrangement for different types of sensor systems and different types of tubes. In addition, different methods for sensor read-out and signal processing are compared. Our biomimetic sensor systems promise to be relatively insensitive to environmental disturbances such as heat, pressure, turbidity or muddiness. They could be used in a wide range of tubes and pipes including water pipes, hydraulic systems, and biological systems. Medical applications include catheter based sensors which inspect blood vessels, urethras and similar ducts in the human body.

关键词： active electrolocation electroreceptor electric image object detection material analysis coronary plaque blood vessel

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A hybrid W-transform-based coding and its VLSI realization for image compression

A hybrid W-transform-based coding and its VLSI realization f...

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IEEE International conference on Consumer Electronics (ICCE)

作者： Shen-Fu Hsiao Wen-Chen Huang Chungnan Lee Cheng-Chung Hsu Department of Health Care Management Chia-Nan College of Pharmacy and Science Taiwan Institute of Computer and Information Engineering National Sun Yat-Sen University Taiwan

ISBN: (纸本)0780343573

We propose an image compression algorithm that combines the W-transform, normalized quantization, and entropy coding to enhance the compression ratio. Experimental results show that the proposed algorithm achieves a higher compression rate compared to the JPEG and the other previously proposed W-transform based method. Since the W-transform plays an important role in multi-resolution image processing applications and is the core operation in our image compression system, we realize it on a VLSI chip in order to increase the system speed performance. The processor can compute the W-transform of any length (even or odd) in a very high throughput rate using only 8 arithmetic processing elements. The physical design of the processor based on 0.6 /spl mu/m cell library is also included.

关键词： Very-large-scale integration Data compression image coding Transform coding wavelet transforms Quantization Entropy codes image resolution Digital signal processors Digital arithmetic Systolic arrays

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A computational vision approach to image registration

A computational vision approach to image registration

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International conference on Pattern Recognition

作者： Q. Zheng R. Chellappa Signal and Image Processing Institute University of Southern California Los Angeles CA USA Department of Electrical Engineering Center for Automation Research University of Maryland College Park MD USA

Automatic image registration is important for many multiframe-based image analysis applications. In this paper, a computational vision approach is presented for the estimation of 2-D translation, rotation, and scale from two partially overlapping images. The approach has the following features: (1) an illuminant direction estimator is used to obtain an initial estimate of camera rotation; (2) feature points are located based on a Gabor wavelet model for detecting local curvature discontinuities; (3) estimation of rotation and translation is formulated as a linear problem; and (4) hierarchical coarse-to-fine matching is used. This results in a fast and novel algorithm that produces good results even when large rotations and scale changes have occurred between the two frames and the images are devoid of significant features. Several applications of the algorithm are presented.< >

关键词： Computer vision image registration Cameras Motion estimation Object detection image motion analysis Robustness Feature extraction Forward contracts Coordinate measuring machines

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Resolution mosaic-based Smart Camera for video surveillance

Resolution mosaic-based Smart Camera for video surveillance

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ACM/IEEE International conference on Distributed Smart Cameras, ICDSC

作者： Mohammed A-Megeed Salem Kristian Klaus Frank Winkler Beate Meffert Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt Signal Processing and Pattern Recognition Group Department of Computer Science Humboldt-Universitaet zu Berlin Berlin Germany

Video surveillance is one of the most data intensive applications. A typical video surveillance system consists of one or multiple video cameras, a central storage unit, and a central processing unit. At least two bottlenecks exist: First, the transmission capacity is limited, especially for raw data. Second, the central processing unit has to process the incoming data to give results in real time. Therefore, we propose an FPGA-based embedded camera system which performs all steps of image acquisition, region of interest extraction, generation of a multiresolution image, and image transmission. The proposed pipeline-based architecture allows a real time wavelet-based image segmentation and a detection of moving objects for surveillance purposes. The system is integrated in a single FPGA using external RAM as storage for images and for a Linux operating system which controls the data flow. With the pipeline concept and a Linux device driver it is possible to create a system for streaming the results of an image processing through a GbE interface. A real time processing is achieved. The camera transmits the captured images with 30 Mpixel/s , but the system is able to process 100 Mpixel/s .

关键词： Smart cameras Video surveillance Central processing Unit image storage Linux Data mining image resolution image communication image segmentation Object detection

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Summarizing personal image collections with intrinsic properties

Summarizing personal image collections with intrinsic proper...

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IEEE signal processing and Communications applications (SIU)

作者： Göksu Erdoğan Bora Çelikkale Aykut Erdem Erkut Erdem Hacettepe Universitesi Ankara Ankara TR

Visual summarization problems are complex intrinsically. Because definition of a summary have some ambiguity and only one correct summary does not exist. A good summary consists of two main properties in general which are (i) coverage and (ii) diversity. A good summary should have high coverage. On the other words summary should consist of key events and concepts for given set. At the same time a good summary should also be diverse, i.e it should not consist of similar events and concepts. In addition to these two main properties, intrinsic properties such as quality, emotions, popularity of images increase in importance depending on prevalence of social media applications. We proposed an automatic summarization method which considers intrinsic properties of images in addition to coverage and diversity for personal image collection summarization. This developed method is compared with summaries of different personal image collections which are collected by crowdsourcing and it is observed that the taking intrinsic properties into account improves the summaries.

关键词： Kernel Crowdsourcing Flickr Histograms Media Cultural differences Facebook

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Implementation of noise reduction for PET using hybrid nonlinear wavelet shrinkage method

Implementation of noise reduction for PET using hybrid nonli...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Akihiro Ishikawa Keishi Kitamura Tetsuro Mizuta Kazumi Tanaka Masaharu Amano Yoshihiro Inoue Medical Systems Division Shimadzu Corporation Kyoto Japan Shimadzu Corporation Japan

Positron emission tomography (PET) imaging provides the functional information and precise physiological uptake of radioactivity in a patient's body. But the photon level of PET system has fewer level, the shortcoming of PET is low SNR. The quantum noise in emission data can have a significant influence on the statistical uncertainty of PET measurements. The reduction of the quantum noise in images is an important issue. Conventional post-processing is not completely suitable, since it leads to loss of the spatial resolution while reducing noise. In this study, we present a method for denoising the quantum noise in images. Our proposed methods is to use a hybrid wavelet shrinkage processing in 3D sinogram(bin,angle,slice) domain. One is applied to axial(bin,angle) space to reduce detector dependence noise element, the other is applied to 3D space to reduce quantum noise. We optimized three parameters in each wavelet processing. The efficacy of the filtering technique was shown on a derenzo phantom. Finally, we also performed human FDG studies to evaluate clinical performance. As result, we have found that the optimized parameters and reconstructed image without post filtering in proposed study reduce COV while maintaining average and spatial resolution. We therefore conclude that wavelet de-noising technique is an effective tool to process PET images and thus to provide better image quality. We expect that our study can provide benefits to clinical applications of PET images.

关键词： Noise reduction Positron emission tomography Spatial resolution Filtering signal to noise ratio Measurement uncertainty Noise measurement wavelet domain Detectors Imaging phantoms

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An Intelligent System to Classify Epileptic and Non-Epileptic EEG signals

An Intelligent System to Classify Epileptic and Non-Epilepti...

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International IEEE conference on signal-image Technologies and Internet-Based System

作者： Emad-Ul-Haq Qazi Muhammad Hussain Hatim Aboalsamh Wadood Abdul Saeed Bamatraf Ihsan Ullah Department of Computer Science and Department of Computer Engineering King Saud University Riyadh Saudi Arabia King Saud University Riyadh Riyadh Province SA Department of Science and Technology University of Napoli ‘Parthenope’ Naples Italy

Epilepsy is a neurological disorder disease that affects more than 55 million people in the world. In this paper, we have proposed an efficient intelligent pattern recognition system for the classification of epileptic and non-epileptic electroencephalogram (EEG) signals. For this purpose, we used state-of-the-art machine learning technique, i.e., SVM (support vector machines) to classify epileptic and non-epileptic signals. Two (02) different classes of signals are used in this study, i.e., non-epileptic with open eyes and epileptic in seizure condition. One hundred (100) subjects from each class were employed for extraction of discriminatory features and classification purpose. After pre-processing of EEG signals, we use discrete wavelet transform (DWT) to decompose signals upto level 5. Then various features, i.e., energy, entropy and standard deviation are extracted from wavelet bands. Next, we use these features in the classification of signals. We achieved the classification accuracy of 100 % at delta band (0 to 3 Hz) and theta band (3 to 6 Hz). The comparisons with the previous studies show the significance of this system, which can be utilized in real-time as well as in offline clinical applications.

关键词： Feature extraction Electroencephalography Discrete wavelet transforms Support vector machines Time-frequency analysis Epilepsy Standards

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Scalable coding and progressive transmission of concentric mosaic using nonlinear filter banks

Scalable coding and progressive transmission of concentric m...

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IEEE International conference on image processing

作者： King-To Ng Shing-Chow Chan Heung-Yeung Shun Department of Electrical and Electronic Engineering University of Hong Kong Hong Kong China Microsoft Research Limited USA

ISBN: (纸本)0780367251

This paper studies the scalable coding and progressive transmission of concentric mosaic to support interactive applications over a LAN or the Internet. Concentric mosaic is an effective 3D image based representation of a static scene. A typical concentric mosaic might consist of thousands of images, which poses significant problem in digital storage and transmission. A new multiresolution decomposition for supporting progressive transmission of a concentric mosaic is proposed. Instead of using the popular 9/7 wavelet filterbank, a nonlinear perfect reconstruction filter bank with lower arithmetic complexity is employed. It also considerably simplifies the random access operation of the slit images during rendering. By encoding the subband signals into different layers, a scalable compressed bit stream of the concentric mosaic is obtained. Therefore, progressive transmission of concentric mosaic, using a combination of these layers, to support devices with different capabilities become possible.

关键词： image storage Filter bank Local area networks Internet Layout signal resolution image reconstruction Arithmetic Rendering (computer graphics) Encoding

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A Review on Digital image Watermarking Using Transformation and Optimization Techniques

A Review on Digital Image Watermarking Using Transformation ...

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International conference on Advances in Computing, Communication Control and Networking (ICACCCN)

作者： Lalita Verma Sanjay Pratap Singh Chauhan School of Computer Science and Engineering Galgotias University Greater Noida India

ISBN: (数字)9781728183374

ISBN: (纸本)9781728183381

Now-a-days multimedia data is being generated very frequently in text format, image format, audio format etc. Security is the major issue of the multimedia data. Multimedia data can be very easily modified by the intruders. By using Watermarking and Steganography techniques the multimedia data can be protected from unauthorised access. Watermarking technique hides the data in the carrier signal. In the process of Steganography, the digital data (e.g. digital files like audio, video, text etc) can be embedded into some other digital file. The concept of watermarking is to keep the watermark robust from various attacks. Whenever the intruder tries to temper with the digital signal and removes the watermark, the digital data becomes useless as the quality is degraded. This paper discusses about various applications of watermarking, characteristics of Watermarking and basics of image processing. This paper also provides a comprehensive study of available literature on digital image watermarking. Some of the optimization techniques have also been discussed.

关键词： wavelet transforms Digital images image processing Watermarking Streaming media Optimization

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Computational Diffusion MRI 1

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丛书名： Mathematics and Visualization

1000年

作者： Elisenda Bonet-Carne Francesco Grussu Lipeng Ning Farshid Sepehrband Chantal M. W. Tax

ISBN: (数字)9783030058319

ISBN: (纸本)9783030058302

This volume gathers papers presented at the Workshop on Computational Diffusion MRI (CDMRI’18), which was held under the auspices of the International conference on Medical image Computing and Computer Assisted Intervention in Granada, Spain on September 20, 2018.;It presents the latest developments in the highly active and rapidly growing field of diffusion MRI. The reader will find papers on a broad range of topics, from the mathematical foundations of the diffusion process and signal generation, to new computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as harmonisation and frontline applications in research and clinical practice. The respective papers constitute invited works from high-profile researchers with a specific focus on three topics that are now gaining momentum within the diffusion MRI community: i) machine learning for diffusion MRI; ii) diffusion MRI outside the brain (e.g. in the placenta); and iii) diffusion MRI for multimodal imaging.;The book shares new perspectives on the latest research challenges for those currently working in the field, but also offers a valuable starting point for anyone interested in learning computational techniques in diffusion MRI. It includes rigorous mathematical derivations, a wealth of full-colour visualisations, and clinically relevant results. As such, it will be of interest to researchers and practitioners in the fields of computer science, MRI physics and applied mathematics alike.

关键词： Mathematical and Computational Biology Numeric Computing Math applications in Computer Science image processing and Computer Vision Simulation and Modeling Artificial Intelligence

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