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检索条件"任意字段=Conference on Image Processing - Algorithms and Systems VII"

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An enhanced super-resolution wavefront extraction algorithm for wideband FMCW radar systems

An enhanced super-resolution wavefront extraction algorithm ...

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German Microwave conference

作者： B. Friederich D. Damyanov T. Schultze I. Willms Fachgebiet Nachrichtentechnische Systeme Universität Duisburg-Essen Duisburg

In this paper a novel super-resolution wavefront extraction algorithm is introduced that merges the advantages of the efficiency correlation techniques based on [1] and super-resolution ability of DCM techniques [2]. The introduced ADCM algorithm is based on the correlation method DCM, but in contrast this algorithm uses a set of weighted differently shifted reference pulses. Due to the clustering of wavefronts the computational effort of the wavefront extraction is optimized. In the herein used set-up a low-cost, single chip radar operating from 57 GHz to 64 GHz is applied. The low-cost and low-weight radar is ideal for autonomous security robots where real-time conditions are necessary.

关键词： Clustering algorithms Radar Correlation Heuristic algorithms image resolution Radar antennas Signal processing algorithms

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Suppressing wrinkles and enhancing human face using L0 norm and ACO algorithm

Suppressing wrinkles and enhancing human face using L0 norm ...

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International conference on (ISCO) Intelligent systems and Control

作者： Rajesh Kochher Shreya Goyal Deptt.of Computer Science Engineering D.A.V.I.E. T Jalandhar (Pb.) Deptt. of Information Technology D.A.V.I.E. T Jalandhar (Pb.)

ISBN: (纸本)9781467378086

In digital image processing various filters are provided to enhance the quality of image. Visibility of some parts in images are enhanced while suppressing the information in some parts of it. Fei Kou et al had found that L 0 norm is a useful mathematical formula to enhance the quality of the image by amplifying the edges present in the detail layer. However in this the problem of suppressing the desired information is not taken into account. In this letter, we are presenting L 0 norm and ant colony optimisation based filter which not only enhance the quality of the image but also suppress the unwanted wrinkles from the human faces, thus using the image enhancement algorithm from both perspective i.e. to enhance the quality of the detail layer as well as to suppress the unwanted information. Simulation results shows that the signal quality is improved and mean square error is considerably reduced using this approach. Moreover histogram equalisation of the image also get improved.

关键词： Face Filtering algorithms Information filters Optimization Mean square error methods image enhancement

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THE EMBEDDABILITY OF LANE DETECTION algorithms ON HETEROGENEOUS ARCHITECTURES

THE EMBEDDABILITY OF LANE DETECTION ALGORITHMS ON HETEROGENE...

引用

IEEE International conference on image processing (ICIP)

作者： Saussard, Romain Bouzid, Boubker Vasiliu, Marius Reynaud, Roger Renault SAS Boulogne France Univ Paris 11 Inst Elect Fondamentale Paris France

ISBN: (纸本)9781479983391

Lane detection plays a crucial role for Advanced Driver Assitance System (ADAS) or autonomous driving applications. Literature shows a lot of lane detection algorithms can work in real time with good results. However, they require much computer processing and cannot be embedded in a vehicle ECU without deep software optimizations. In this paper, we discuss the embeddability of lane detection algorithms by comparing state-of-the-art algorithms in terms of functional performance and computational timing. We identify what essential parts of lane detection are time consuming, and show these parts can be computed in real time on embedded systems.

关键词： ADAS Lane Detection Embedded processing

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Real-time recognition of road traffic signs in video scenes

Real-time recognition of road traffic signs in video scenes

引用

International conference on Advanced Technologies for Signal and image processing (ATSIP)

作者： Wajdi Farhat Hassene Faiedh Chokri Souani Kamel Besbes Faculty of Sciences of Monastir University of Sousse Higher Institute of Applied Sciences & Technology University of Sousse Universite de Sousse Sousse TN Center for Research on Microelectronics and Nanotechnology CRMN of Sousse University of Sousse Faculty of Sciences of Monastir University of Monastir

ISBN: (纸本)9781467385275

This paper presents a new algorithm for the detection and classification of real-time road traffic signs in the video. Our system is able to detect and classify triangular, circular, and octagonal signs of red and blue colors. The proposed system operates into two processing steps: (1) detection and (2) classification road signs. The system has detected candidate regions as Maximally Stable Extremal Regions (MSERs) in HSV color space with available robustness to variations in lighting conditions, especially red and blue. The detected candidate regions were then classified as method template matching, such as circular, octagonal, and triangular shapes. The proposed system is operating under a range of weather conditions and recognizes all classes of road traffic sign database. Results show a high success rate. In fact, the system maintains high performance for detection and classification steps whose F-measure are set to 0.95 and 0.92 respectively. We conclude, from these results, that the proposed system is invariant to rotation, translation, scale, even to partial occlusions. Moreover, results prove that the system is suitable and reliable for real-time processing.

关键词： Roads image color analysis Shape Real-time systems Robustness Classification algorithms Feature extraction

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A PPG Signal De-Noising Method Based on the DTCWT and the Morphological Filtering

A PPG Signal De-Noising Method Based on the DTCWT and the Mo...

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

作者： Tong Bai Dan Li Huiqian Wang Yu Pang Guoquan Li Jinzhao Lin Qianneng Zhou Gwanggil Jeon Chongqing University of Posts and Telecommunications Chongqing China Department of Embedded Systems Engineering Incheon National University Incheon Republic of Korea

The pulse wave signal contains a variety of noises and has strong nonlinear and non-stationary. According to the previous wavelet transformation method, this paper proposes a PPG signal de-noising algorithm based on dual-tree complex wavelet transform (DTCWT) and morphological filtering. With the advantage of simple construction, clear mathematical implications and low computational complexity, this method overcomes the shift sensitive and the frequency aliasing in the discrete wavelet transform. The simulation results show that this algorithm could remove the power line interference and EMG interference, and the quantitative index of SNR and mean square error is superior to the traditional threshold de-noising algorithm. Therefore, the DTCWT and morphological filtering de-noising algorithm would obtain a clear pulse wave signal.

关键词： Noise reduction Filter banks Discrete wavelet transforms Signal to noise ratio Signal processing algorithms

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Quantitative Modelling of image processing algorithms for Hardware Implementation

Quantitative Modelling of Image Processing Algorithms for Ha...

引用

2015 conference on Design of Circuits and Integrated systems (DCIS)

作者： Szydzik, Tomasz Callico, Gustavo M. Nunez, Antonio Univ Las Palmas Gran Canaria Inst Appl Microelect Las Palmas Gran Canaria Spain Univ Las Palmas Gran Canaria Dept Elect Engn & Control Las Palmas Gran Canaria Spain

ISBN: (纸本)9781467372282

Availability of hardware implementations of super-resolution image reconstruction algorithms is limited mostly by their logical and memory requirements. This is also the case for other image processing algorithms such as hyperspectral, image compression, image coding, video coding. In previous publications we have introduced a new execution flow that tackles the problem of high memory requirements of a restoration-interpolation super-resolution kernel by carrying out processing in a macroblock-by-macroblock manner. In this work we present the modelling framework used for the evaluation of the proposed execution flow. The modelling process is presented in a step-by-step manner by means of a real-life example of implementation of super-resolution image reconstruction with description of the choices made at every stage and explanation of the reasoning behind. In the presented case the use of the proposed frame-work led to a hardware implementation with real-time capabilities. This frame-work can be applied to similar algorithms, helping system designers in achieving better work organization and efficiency.

关键词： Modelling Simulation super-resolution communications traffic evaluation memory requirements reduction trade offs

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A New image processing Enabled Approach for Detection of Scratch Defects for Wire-Type Objects

A New Image Processing Enabled Approach for Detection of Scr...

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International conference on Information Science and Control Engineering (ICISCE)

作者： Jing Zhang Yulong Cui Guannan He Chaomin Luo Guijun Miao College of Information Science and Technology Beijing University of Chemical Technology Beijing China College of Engineering and Science University of Detroit Mercy Detroit USA

ISBN: (纸本)9781509025367

This paper presents an approach for the surface inspection of wire-type objects. The research aims to detect scratch defect of a wire rod. Scratch defect is caused by many reasons such as poor quality of raw material or malfunction of rolling process. The defects are very difficult to detect accurately due to the scale-covered background and uneven illumination. The inspection system is based on vision technology. image processing algorithms are applied for detecting scratch defects of wire rod. The detection algorithm is mainly divided into three steps. First, use wavelet transform to have texture analysis. In order to obtain more details, we take the approximation subimage at resolution level one as source image. Then, explain the Fast Line Segment Detector method and the detected results are illustrated using real defects from steel wire rods. But the complex backgrounds in images of wire rods inevitably result in false positive and false negative defects. Finally, apply postprocessing based on detection results. Compared with the classical methods, the results show that the applied algorithms have a good performance on scratch defect detection of wire rod. Moreover, it has an effective execution time proportional to the number of pixels in the image.

关键词： image segmentation Decision support systems Wires Steel Transforms Detectors Inspection

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Glaucoma Diagnosis by Means of Optic Cup Feature Analysis in Color Fundus images

Glaucoma Diagnosis by Means of Optic Cup Feature Analysis in...

引用

European Signal processing conference

作者： Andres Diaz Sandra Morales Valery Naranjo Pablo Alcocer Aitor Lanzagorta Instituto de Investigacion e Innovacion en Bioingenieria I3B Universitat Politecnica de Valencia Grupo Tecnologias de Informatica Aplicadas a la Oftalmologia

ISBN: (纸本)9781509018918

Glaucoma is an asymptomatic eye disease and one of the major causes of irreversible blindness worldwide. For this reason, there have been significant advances in automatic screening tools for early detection. In this paper, an automatic glaucoma diagnosis algorithm based on retinal fundus image is presented. This algorithm uses anatomical characteristics such as the position of the vessels and the cup within the optic nerve. Using several color spaces and the Stochastic Watershed transformation, different characteristics of the optic nerve were analyzed in order to distinguish between a normal and a glaucomatous fundus. The proposed algorithm was evaluated on 53 images (24 normal and 29 glaucomatous images). The specificity and sensitivity obtained by the proposed algorithm are 0.81 and 0.87 using Luv color space, which means considerable performance in diagnosis systems.

关键词： Optical imaging image color analysis Optical signal processing Signal processing algorithms Biomedical optical imaging image segmentation Optical sensors

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Development of a real-time lumbar ultrasound image processing system for epidural needle entry site localization

Development of a real-time lumbar ultrasound image processin...

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Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Yusong Leng Shuang Yu Kok Kiong Tan Philip Tildsley Alex Tiong Heng Sia Ban Leong Sng Department of Electrical and Computer Engineering National University of Singapore Department of Women's Anaesthesia KK Women's and Children's Hospital

ISBN: (纸本)9781457702198

A fully-automatic ultrasound image processing system that can determine the needle entry site for epidural anesthesia (EA) in real time is presented in this paper. Neither the knowledge of anesthetists nor additional hardware is required to operate the system, which firstly directs the anesthetists to reach the desired insertion region in the longitudinal view, i.e., lumbar level L3-L4, and then locates the ideal puncture site by instructing the anesthetists to rotate and slightly adjust the position of ultrasound probe. In order to implement these functions, modules including image processing, panorama stitching, feature extraction/selection, template matching and support vector machine (SVM) classification are incorporated in this system. Additionally, a user-friendly graphical user interface (GUI), which displays the processing results and guides anesthetists intuitively, is further designed to conceal the intricacy of algorithms. Feasibility and effectiveness of the proposed system has been evaluated through a set of realtime tests on 53 volunteers from a local hospital.

关键词： Ultrasonic imaging Probes Graphical user interfaces Real-time systems image processing Needles Spine

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Comparative study of distinctive image classification techniques

Comparative study of distinctive image classification techni...

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International conference on (ISCO) Intelligent systems and Control

作者： A. Rajesh Sharma R. Beaula P. Marikkannu Akey Sungheetha C. Sahana Information Technology Hindusthan College of Engg. and Tech. Coimbatore India Information Technology Anna University Regional Centre Coimbatore India Information Technology Karpagam College of Engineering Coimbatore India Communication Systems Amrita University Coimbatore Ettimadai India

image classification is one of the most multifaceted disciplines in image processing. There are quite a few approaches to categorize images and they offer good classification outcome but they not be up to snuff to provide acceptable classification upshots when the image comprises blurry content. The two chief techniques for image classification are supervised and unsupervised classification. Mutually each possess its own pros and cons. The foremost intent of literature survey is to present a concise outline about some of most widespread image classification schemes and comparison between them. At this point in a survey on diverse classification practices for images and moreover its application for diagnosis of scores of diseases is provided. A few of the unsurpassed processes for classification comprise Artificial Neural Network, Support Vector Machine, and Decision Tree. Their characteristics, upshots and certain vital issues have been judged against each other in order to ascertain the effectual algorithm. To conclude it has been shown that the proposed system Hybrid RGSA and Support Vector Machine Framework is the paramount one to classify images competently.

关键词： Classification algorithms Training Artificial neural networks Decision trees Support vector machines image classification Feature extraction

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