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Proceedings of the 2020 4th International conference on Vision, image and signal processing

作者： Seyed Vahid Mirnezami Ali HamidiSepehr Mahdi Ghaebi Seyed Reza Hassan-Beygi Colaberry Incorporated Boston MA USA Agricultural Engineering Department University of Tehran Iran

ISBN: (纸本)9781450389532

Apricot which is a cultivated type of Zerdali (wild apricot) has an important place in human nutrition and its medical properties are essential for human health. the objective of this research was to obtain a model for apricot mass and separate apricot variety with image processing technology using external features of apricot fruit. In this study, five verities of apricot were used. In order to determine the size of the fruits, three mutually perpendicular axes were defined, length, width, and thickness. Measurements show that the effect of variety on all properties was statistically significant at the 1% probability level. Furthermore, there is no significant difference between the estimated dimensions by image processing approach and the actual dimensions. the developed system consists of a digital camera, a light diffusion chamber, a distance adjustment pedestal, and a personal computer. images taken by the digital camera were stored as (RGB) for further analysis. the images were taken for a number of 49 samples of each cultivar in three directions. A linear equation is recommended to calculate the apricot mass based on the length and the width with R2 = 0.97. In addition, ANFIS model with C-means was the best model for classifying the apricot varieties based on the physical features including length, width, thickness, mass, and projected area of three perpendicular surfaces. the accuracy of the model was 87.7.

关键词： Apricot image processing Classification Machine Learning

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Efficient parking lot management system for parking attendants based on real-time impulsive sound detection and voice command recognition

Efficient parking lot management system for parking attendan...

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International conference on image and signal processing and their applications (ISPA)

作者： Faycal Ykhlef Ouahiba Cherir Amal Mekdour Djamel Bouchaffra Ratiba Boutaleb Wahiba Benzaba Division Architecture des Systèmes et Multimédia Centre de Développement des Technologies Avancées Algiers Algeria Département d’Electronique Université Blida 1 Blida Algeria

ISBN: (数字)9798350309249

ISBN: (纸本)9798350309256

the mission of parking attendants includes several tasks. One can mention, the supervision of automobile access, the management of parking facility, and the promotion of parking areas safety. therefore, an intelligent system which allows carrying out some tasks only by speaking will definitely help attendants to complete their mission properly. the solution we propose activates the main computer to listen and promptly recognizes commands spoken in Arabic by the parking attendant in real-time. It seamlessly performs various tasks, including (i) opening and closing the main barrier, (ii) controlling the lights in the parking area automatically, and (iii) triggering and stopping theft alarms. the solution is based on two main phases: (i) querying the computer in real time through an impulsive waveform such as hands clapping, (ii) and recognizing voice commands. the first phase is accomplished using impulsive sound identification technique based on normalized version of power sequences. However, the second phase uses Google's application programming interface. the software was designed using Python language. We controlled external hardware such as parking barrier, light bulb, and alarm device using Arduino board. the execution time of the proposed software is nearly real-time and ranges from 5 to 6 seconds. the average subjective evaluation score conducted by 6 users is 4/5.

关键词： image recognition Speech recognition signal processing Turning Real-time systems Software Internet

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Assertion of Low Bone Mass in Osteoporotic X-ray images using Deep Learning Technique

Assertion of Low Bone Mass in Osteoporotic X-ray images usin...

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Advances in Computing, Communication Control and Networking (ICAC3N), International conference on

作者： Gautam Amiya Kottaimalai Ramaraj Pallikonda Rajasekaran Murugan Vishnuvarthanan Govindaraj Muneeswaran Vasudevan Arunprasath thiyagarajan Department of Computer Science and Engineering Kalasalingam Academy of Research and Education Krishnankoil Tamilnadu India Department of Electronics and Communication Engineering Kalasalingam Academy of Research and Education Krishnankoil Tamilnadu India Department of Biomedical Engineering Kalasalingam Academy of Research and Education Krishnankoil Tamilnadu India

Osteoporosis is a disease that causes low bone mass and bone tissue deterioration. the application of medical image segmentation in identifying the anomalies present in the multimodal medical images is utilized in this work to predict and locate the low bone mass section. the X ray dataset is downloaded from the freely available Kaggle repository contains osteoporosis and normal bone images. this paper utilizes Gabor Filter for the extraction of features and the modified U-net algorithm derived from Deep Convolutional Neural Network for segmentation. For improvement over classical U-Net, we had gone for Parametric Relu as an activation function to overcome the disadvantages of Relu while keeping the advantages of Relu intact. the performance metric parameters including Mean Squared Error (MSE), Peak signal to Noise Ratio (PSNR), Tanimoto Co-efficient index (TC), Dice Overlap Index (DOI) and computational time (T) are evaluated andthe outcomes attained are *** fuzzy logic dependent rules could be applied to the final outcome of image processing and deep learning techniques for clinical decision making and handling treatmenttherapy of those suffering from any of these orthopedic ailments in the regular clinical practices. the proposed method performs better on many aspects than the existing deep learning algorithms like Convolutional Neural Networks (CNN) and Artificial Neural Networks (ANN).

关键词： Deep learning Osteoporosis image segmentation PSNR Bones Feature extraction Convolutional neural networks

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Automated Condition Monitoring Using Artificial Intelligence 2020

Automated Condition Monitoring Using Artificial Intelligence

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Proceedings of the 2020 4th International conference on Vision, image and signal processing

作者： Ieuan Griffiths University of South Wales Treforest Pontypridd UK

ISBN: (纸本)9781450389532

Machine maintenance is a major part of total operating costs for manufacturing and production plants, hence, having a cost-effective maintenance strategy is key to success. Most standard solutions operate on a time-driven approach where repairs or replacements are carried out after a given amount of time. this results in healthy machines being replaced unnecessarily incurring losses in both time, resource, and parts. Predictive maintenance utilises sensors capable of collecting real-time operating data and analytical techniques to predict when a machine will require maintenance. this research develops a vibration analysis tool that can detect and differentiate a machines operating conditions without any human analysis or intervention demonstrated via a case study. By using spectrograms in conjunction with image recognition and unsupervised learning, the tool is capable of being applied to many different machines without modification. Results show that features extracted using convolutional auto-encoding and t-SNE, are capable of being clustered in an unsupervised manner accurately based on case study test conditions. Future work looks at the application of this tool into a real-time data stream that can determine operating conditions in real-time.

关键词： signal processing Condition monitoring Predictive maintenance Unsupervised learning Machine learning Neural networks Artificial intelligence Machine maintenance Fault detection

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Assessment of cardiac time intervals by wavelet transform of the impedance cardiogram

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TECHNOLOGY AND HEALth CARE 2016年第Suppl 2期24卷 S803-S809页

作者： Stepanov, Rodion Podtaev, Sergey Dumler, Andrey Chugainov, Sergey Inst Continuous Media Mech Ak Korolev Str 1 Perm 614013 Russia Perm State Med Acad Dept Intro Internal Dis Perm Russia

BACKGROUND: Impedance cardiography (ICG) is an inexpensive, noninvasive technique for estimating hemodynamic parameters. ICG can be used to obtain the ejection fraction of the left atrium and to monitor systolic time intervals. Traditional ICG technique does not enable unambiguous detection of the left ventricle ejection time (LVET) and the time relationships between specific marker points. OBJECTIVE: this work aims to approbate a new approach for ICG signal processing using wavelet transform (WT) and to investigate the possibilities of this approach for determination of the parameters which are related to the stroke volume (SV), in particular LVET. MEthODS: thoracic tetrapolar polyrheocardiography method for simultaneous registration of ECG, ICG and phonocardiograms has been used. A control group consisted of eight healthy men aged 20-25 years. In addition, four patients with essential hypertension participated in the study. wavelet representation of the ICG data produced local maxima in a two dimensional distribution of the wavelet coefficient. Each extremum point was characterized by the amplitude, scale and time, which determine SV. RESULTS: LVET was defined as the scale corresponding to the E-wave maximum related to the systolic phase of the cardiac cycle. Also, we defined the initial systolic time interval (ISTI) as the time interval between R peak in the ECG and E-wave maximum on the wavelet plane. During functional test LVET and ISTI values defined by WT demonstrated a proper hemodynamic response to loading for the control group and patients with essential hypertension. CONCLUSION: the proposed approach demonstrates the ability of ICG-WT technique for adequate assessment of SV parameters, including cardiac time intervals.

关键词： Impedance cardiography wavelet transform hemodynamic parameters

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An Efficient Hardware Implementation of Walsh Hadamard Transform for JPEG XR

An Efficient Hardware Implementation of Walsh Hadamard Trans...

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IEEE India conference (INDICON)

作者： Shaik Hafizullah M. S. S. V Srikrishna Manideep Vinay Sharma PallabKumar Nath Alok Naugarhiya Shrish Verma Electronics& Telecommunication Engineering NIT RAIPUR

ISBN: (纸本)9781538682364

Walsh Hadamard Transform (WHT) is an important transformation technique used in image and signal processing applications like image compression, filtering and speech processing. the WHT becomes an automatic choice in JPEG XR image compression standard due to the simple computation technique. the kernel matrix used in WHT consists of only two values namely +1 and -1, hence input coefficients are either added or subtracted. this paper proposes a high throughput pipelined architecture for computing WHT by reusing common sub-expressions. In the proposed design, computation is performed by adding and subtracting the input data and store the intermediate results (sub-expressions) in the register stacks for reuse. the architecture is designed and implemented in XC3S700AN-4 device and maximum frequency of operation obtained is 162 MHz. the comparison of the computing speed of the proposed architecture with the previously available designs has been done based on the throughput which is defined as the time interval for computing overall results of an 8×8 image matrix. the proposed architecture consumes 395 nS time (throughput) to generate the result of an 8×8 image matrix which is 51% lesser than that of the best available design.

关键词： Computer architecture Registers Clocks Transforms image coding throughput Frequency control

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An Optimization for Distance Estimation in Real-Time with DM6437

An Optimization for Distance Estimation in Real-Time with DM...

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2012 4th International conference on signal processing Systems(ICSPS 2012)

作者： He Tian-xiang FU Xiao-ning Hou Guo-qiang School of Electromechanical Engineering Xidian University

the passive ranging system on monocular has earned its bright application prospect in modern opto-electronic countermeasures and traffic monitoring. this technology is characterized by using the imaging direction and the distance-related features in the target image to estimate distance by solving a proper equation [1] . the distance-related features could be obtained by making use of complex image processing algorithms [2] . Limited by the complexity and time-consuming of the algorithm, to realize such an algorithm in real-time is much difficult. To solve this problem, in addition to using high-performance image processing chip, optimization on program body is also a quite effective method. Taking into account the hardware characteristics of DM6437, the DSP chip, a simplified [3] Scale Invariant Feature Transform (SIFT [4] ) image matching algorithm was developed. On the other hand, a lot of effort has been done for optimization subroutine itself based on the characteristics of C64x+ DSP core, such as using intermediate variables, intrinsic operations, word access to short type data, the compiler settings, software pipelining and linear assembly. It is showed by our final experiments that the operation speed has been significantly improved. For an image sequence with size of 256×256 pixels, the operation speed was improved from 4 seconds per frame to 25 frames per second, which meets the requirements of real-time location algorithm perfectly while the ranging error is less than 7%.

关键词： video image, distance estimation, DM6437, optimization, SIFT

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Interactive multiview video system with low decoding complexity

Interactive multiview video system with low decoding complex...

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IEEE International conference on image processing

作者： thomas Maugey Pascal Frossard Signal Processing Laboratory (LTS4) École Polytechnique Fédérale de Lausanne Lausanne Switzerland

Research in multimedia is always investigating new ways of improving the immersive experience of the users. One current solution consists in designing systems which offer a high level of interactivity, such as multiview content navigation where the point of view can be changed while watching at a video sequence (e.g., free view- point television, gaming, etc.). the coding algorithm designed for the transmission of such media streams must be adapted to these novel decoder needs. However, video plus depth data transmission is usually performed by considering the information flows as two sequences encoded with MVC schemes. Whereas it achieves good compression performance, this coding approach is not appropriate for interactive applications since the decoding of a frame of- ten requires the prior transmission and decoding of several reference frames. Moreover, the techniques recently developed to improve interactivity are generally implemented at the decoder, whose computational complexity requirements are augmented. In this paper, we propose a novel coding scheme for video plus depth sequences that is adapted to user navigation; contrarily to several common approaches, the additional complexity is added on the encoder side so that the decoder stays simple. We further propose to limit the additional bandwidth imposed by interactivity requirements by designing a rate allocation algorithm that builds on a model of the user behavior. A first version of our novel coding architecture is evaluated in terms of rate-distortion performance, where it is shown to offer a high interactivity at a reasonable bandwidth cost.

关键词： image coding Navigation Encoding Decoding Resource management Streaming media Cameras

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Software and Hardware Implementation of Regular Mode CABAC Decoder in VVC Standard

Software and Hardware Implementation of Regular Mode CABAC D...

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International conference on image and signal processing and their applications (ISPA)

作者： Wahiba Menasri Abdelkader Morsli Abderrezak Gacemi Amina Yahia Chouihi Lakhder Softa Khalil Research Laboratory in Renewable Energies and Materials University Yahia Fares of Medea Algeria Research Laboratory on Electricale Engenering and Automatic University Yahia Fares of Medea Algeria Research Laboratory on Electrical Engineering and Automatic University Yahia Fares of Medea Algeria University Yahia Fares of Medea Algeria

ISBN: (数字)9798350309249

ISBN: (纸本)9798350309256

Video compression is considered as an important step-in real-time application for 4K and 8K video contain. Actually, several techniques of compression are adopted and developed, but the Versatile Video Coding (VVC) standard is the latest one. VVC adopt many new and developed techniques such LMCS filter, motion estimation, intra prediction and Context-based Adaptive Binary Arithmetic Coding plus (CABAC + ). CABAC + is the only operation of entropy coding adopted in VVC video codec but it undergone modifications and improvement compared to that used in High Efficiency Video Coding (HEVC). CABAC is operate with three main modes: Bypass (BM), Terminate (TM) and Regular (RM). Additionally, the heavy calculation of RM results a long critical path delay and consume more resources. We propose in this work, software and material implementation of regular mode CABAC + decoder in the latest VVC standard. Firstly, the RM CABAC + algorithm is implemented on MATLAB software in order to control and manage the decoding process of syntax element. Secondly, the RM CABAC + algorithm is designed, implemented, synthesized and emulated. Finally, comparison results are carried out between that obtained with ModelSim and that obtained with Matlab in order to ensure the accuracy of our proposed design.

关键词： Software algorithms signal processing algorithms Syntactics Software Hardware Mathematical models Decoding

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Ocelot: A dynamic optimization framework for bulk-synchronous applications in heterogeneous systems

Ocelot: A dynamic optimization framework for bulk-synchronou...

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International conference on Parallel Architecture and Compilation Techniques (PACT)

作者： Gregory Diamos Andrew Kerr Sudhakar Yalamanchili Nathan Clark School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta Georgia College of Computing Georgia Institute of Technology Atlanta Georgia

ISBN: (纸本)9781617824692;9781509050321

Ocelot is a dynamic compilation framework designed to map the explicitly data parallel execution model used by NVIDIA CUDA applications onto diverse multithreaded platforms. Ocelot includes a dynamic binary translator from Parallel thread eXecution ISA (PTX) to many-core processors that leverages the Low Level Virtual Machine (LLVM) code generator to target x86 and other ISAs. the dynamic compiler is able to execute existing CUDA binaries without recompilation from source and supports switching between execution on an NVIDIA GPU and a many-core CPU at runtime. It has been validated against over 130 applications taken from the CUDA SDK, the UIUC Parboil benchmarks [1], the Virginia Rodinia benchmarks [2], the GPU-VSIPL signal and image processing library [3], the thrust library [4], and several domain specific applications. this paper presents a high level overview of the implementation of the Ocelot dynamic compiler highlighting design decisions and trade-offs, and showcasing their effect on application performance. Several novel code transformations are explored that are applicable only when compiling explicitly parallel applications and traditional dynamic compiler optimizations are revisited for this new class of applications. this study is expected to inform the design of compilation tools for explicitly parallel programming models (such as OpenCL) as well as future CPU and GPU architectures.

关键词： Graphics processing units Computer architecture Dynamic compiler Instruction sets Parallel processing

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