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ieee International Conference on Vehicular Electronics and Safety

作者： Wang, Kunfeng Li, Zhenjiang Yao, Qingming Huang, Wuling Wang, Fei-Yue Chinese Acad Sci Inst Automat Key Lab Complex Syst & Intelligence Sci Beijing 100080 Peoples R China

ISBN: (纸本)9781424412655

The objective of this paper is to present a detailed description of using DSP board and image processing techniques to construct an automated vehicle counting system. Such a system has many potential applications, such as traffic signal control and district traffic abduction. We use TI TMS320DM642 DSP as the computational unit to avoid heavy investment in industrial control computer while obtaining improved computational power and optimized system structure. The overall software is comprised of two parts: embedded DSP software and host PC software. The embedded DSP software acquires the video image from stationary cameras, detects and counts moving vehicles, and transmits the processing results and real-time images after compression to PC software through network. The host PC software works as a graphic user interface through which the end user can configure the DSP board parameters and access the video processing results. The vehicle detection and counting algorithm is carefully devised to keep robust and efficient in traffic scenes for longtime span and with changeful illumination. Experimental results show that the proposed system performs well in actual traffic scenes, and the processing speed and accuracy of the system can meet the requirement of practical applications.

关键词： Video signal processing

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Evolving Fuzzy Rule-based Classifiers

Evolving Fuzzy Rule-based Classifiers

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ieee symposium on computational intelligence in image and signal processing, ciisp

作者： Plamen Angelov Xiaowei Zhou Frank Klawonn Department of Communication Systems InfoLab21 Lancaster University Lancaster UK Department of Computer Science University of Applied Sciences Wolfenbuettel Germany

A novel approach to on-line classification based on fuzzy rules with an open/evolving structure is introduced in this paper. This classifier can start `from scratch', learning and adapting to the new data samples or from an initial rule-based classifier that can be updated based on the new information contained in the new samples. It is suitable for real-time applications such as classification streaming data, robotic applications, e.g., target and landmark recognition, real-time machine health monitoring and prognostics, fault detection and diagnostics, etc. Each prototype is a data sample that represents the focal point of a fuzzy rule per class and is selected based on the data density by an incremental and evolving procedure. This approach is transparent, linguistically interpretable, and applicable to both fully unsupervised and partially supervised learning. It has been validated by two well known benchmark problems and by real-life data in a parallel paper. The contributions of this paper are: i) introduction of the concept of evolving (open structure) classification (eClass) of streaming data; ii) experiments with well known benchmark classification problems (Iris and wine reproduction data sets)

关键词： Fuzzy systems Data mining Knowledge based systems Fault detection Classification tree analysis signal processing Learning systems Decision trees Bayesian methods Evolution (biology)

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A comparative study of ranking methods, similarity measures and uncertainty measures for interval type-2 fuzzy sets

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INFORMATION SCIENCES 2009年第8期179卷 1169-1192页

作者： Wu, Dongrui Mendel, Jerry M. Univ So Calif Ming Hsieh Dept Elect Engn Inst Signal & Image Proc Los Angeles CA 90089 USA

Ranking methods, similarity measures and uncertainty measures are very important concepts for interval type-2 fuzzy sets (IT2 FSs). So far, there is only one ranking method for such sets, whereas there are many similarity and uncertainty measures. A new ranking method and a new similarity measure for IT2 FSs are proposed in this paper. All these ranking methods, similarity measures and uncertainty measures are compared based on real survey data and then the most suitable ranking method, similarity measure and uncertainty measure that can be used in the computing with words paradigm are suggested. The results are useful in understanding the uncertainties associated with linguistic terms and hence how to use them effectively in Survey design and linguistic information processing. (C) 2008 Elsevier Inc. All rights reserved.

关键词： Interval type-2 fuzzy sets Ranking methods Similarity measures Uncertainty measures Computing with words

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A novel architecture for the computation of 2D-DWT and its implementation on Virtex-II Pro FPGA

A novel architecture for the computation of 2D-DWT and its i...

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International Conference on computational intelligence and Security

作者： Fatima, Kaleem Gopal, S. Vijay Nadeem, N. Zeeshan MJCET ECE Dept Hyderabad Andhra Pradesh India Cognizant Technol Solut Madras Tamil Nadu India Arizona State Univ Tempe AZ 85287 USA

ISBN: (纸本)9780769530727

This paper proposes a new approach for the design of hardware architecture for the computation of 2D-DWT for an 8 x 8 image. The key feature of this design is to directly apply 2D-DWT on alternate pixels of an image, called as the Non-Separable method, and implement it on an FPGA. The resulting design was implemented using only 6 adders and 10 multipliers, thus optimizing the number of multipliers and adders required for the computation of 2D-DWT. Thus our approach provides a cost effective solution as compared to the conventional 2D non-separable methods without compromising on speed performance. The design is implemented on Xilinx Virtex II Pro FPGA development kit and synthesized using Xilinx XST (VHDL/Verilog) synthesis tool.

关键词： 2D-DWT signal processing VLSI FPGA filter coefficients IDWT

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A lossy compression algorithm for Bayer pattern color filter array data

A lossy compression algorithm for Bayer pattern color filter...

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International symposium on signals, Circuits and Systems

作者： Bazhyna, Andriy Egiazarian, Karen Mitra, Sanjit K. Koh, Chin C. Tampere Univ Technol Inst Signal Proc POB 553 FIN-33101 Tampere Finland Univ Calif Dept Elect & Comp Engn Santa Barbara CA 93106 USA

ISBN: (纸本)9781424409686

An efficient algorithm for lossy compression and decompression of Bayer pattern Color Filter Array (CFA) data is presented. The compression is carried out in the camera while the decompression followed by demoasicing and other ancillary image processing tasks are performed in an external device. The proposed method provides better quality reconstructed color image at a given bitrate, reduces computational complexity and prolongs battery life by reducing the processing steps performed in camera-The algorithms combines modified color space transformation and prediction. Simulations demonstrate that the results of proposed algorithm are superior to some previously proposed approaches.

关键词： Cameras

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Improved non-parametric subtraction for detection of wafer defect

Improved non-parametric subtraction for detection of wafer d...

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5th International symposium on image and signal processing and Analysis

作者： Kim, Hye Won Yoo, Suk In Seoul Natl Univ Artificial Intelligence & Comp Vis Lab Seoul 151 South Korea

ISBN: (纸本)9789531841160

Automated defect inspection for wafer has been developed since 1990's to replace defect detection by human eye for low-cost and high-quality. Defects are detected by comparing an inspected die with a reference die in application of wafer defect inspection. Referential methods compare with reference image by computing the intensity difference pixel by pixel between a reference image and an inspected image or measuring the similarity between two images using normalized cross correlation or eigen value. These methods are problematic for defect detection due to illumination change, noise and alignment error. To reduce the sensitivity of illumination change and noise, the new image subtraction called non-parametric subtraction was proposed. Non-parametric subtraction can solve problem about illumination change and noise, but sensitivity of alignment remains unsolved This paper introduces new approach less sensitive to alignment using non-parametric subtraction for wafer defect inspection.

关键词： Alignment

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Tree-structured MIMO FIR filter banks for flexible frequency reallocation

Tree-structured MIMO FIR filter banks for flexible frequency...

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5th International symposium on image and signal processing and Analysis

作者： Abdulazim, Mohammed N. Goeckler, Heinz G. Ruhr Univ Bochum Digtal Signal Proc Grp D-44780 Bochum Germany

ISBN: (纸本)9789531841160

Emerging digital on-board processors for communication satellites concurrently call for two tasks of a cascade of a frequency demultiplexer (FDMUX) and a frequency multiplexer (FMUX): i) mere de- and remultiplexing of an FDM signal (FDFMUX functionality) and ii) decomposition and reconstruction of a wideband signal (Sub-band Coding (SBC) functionality). In this paper, two FIR approaches allowing for flexible frequency reallocation, the oversampling 2 x 2-channel and the critically sampling 2-channel FIR SBC-FDFMUX filter banks, are investigated and compared with each other Furthermore, tree-structured MIMO extensions of both approaches including the application of switching functions are investigated. The oversampling 2 x 2-channel SBC-FDFMUX filter bank moderately outperforms the critically sampling 2-channel SBC-FDFMUX filter bank in terms of computational complexity, whereas the latter is highly modular and, hence, simply realisable.

关键词： Filter banks

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computational anatomy atlas of the heart

Computational anatomy atlas of the heart

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5th International symposium on image and signal processing and Analysis

作者： Ordas, Sebastian Oubel, Estanislao Sebastian, Rafael Frangi, Alejadro F. Univ Pompeu Fabra Computat Imaging Lab E-08003 Barcelona Spain

ISBN: (纸本)9789531841160

A computational anatomy atlas of the heart has been built for the main purposes of patient-specific functional analysis and electromechanics simulations. The atlas is composed of an underlying statistical shape model, based on a Point Distribution Model (PDM), which was constructed from a training set comprising 100 asymptomatic and pathologic subjects. A key advantage of the proposed building procedure is the needless of manual delineations. Another one is the use of Multi-Slice Computed Tomography (MSCT) images, which have an excellent spatial resolution. Both, inter-subject and temporal variability were captured with the inclusion of all available time frames of each 4-D (3-D + time) image. Embedded in the shape model, a number of functional structures and properties have been incorporated to the atlas, such as myocardial fiber orientation, specialized electrical conduction pathways in the ventricles and atria, a set of anatomical landmarks, and the coronary venous and arterial trees. While numerous potential improvements are planed for the future, the atlas is already workable for FEM-based simulations of ventricular electrophysiology and cardiac functional analysis.

关键词： Heart

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Study on the dual camera photogrammetry and signal process in photoelectric landing guidance system

Study on the dual camera photogrammetry and signal process i...

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International Conference on Communications, Circuits and Systems Proceedings

作者： Yang, Cheng Zhu, Da-Yong Zhang, Jin Huang, Bin Univ Elect Sci & Technol China Coll Photoelect Informat Chengdu 610054 Peoples R China

ISBN: (纸本)9781424408849

In this paper, we designed a photoelectric guidance system for helicopter landing and recovery. Two infrared CCD cameras were used to image the four beacons lighted by semiconductor lasers on both sides of the helicopter. The beacon position and attitude were extracted by image process and target identification. Using the dual camera photogrammetry(DCP) model established, the real-time helicopter coordinates were calculated relative to the landing point. Using the high performance DSP system, two channel of image signal were collected, detected and tracked in real time and the experimental results were displayed. The hardware-in-the-loop experiment shows that the measurement accuracy of distance can reach +/- 5cm and the measurement accuracy of angle can reach +/- 3 degrees in the guidance system. The errors meet the accuracy requirements of safe landing for helicopters.

关键词： Electronic guidance systems

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Concurrent Self-Organizing Maps for Multispectral Facial image Recognition

Concurrent Self-Organizing Maps for Multispectral Facial Ima...

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ieee symposium on computational intelligence in image and signal processing, ciisp

作者： Victor-Emil Neagoe Alexandru-Cristian Mugioiu Cristian-Tudor Tudoran Department of Electronics Telecommunications and Information Technology Polytechnic University of Bucharest Bucharest Romania

This paper is dedicated to multispectral facial recognition, based on the model of concurrent self-organizing maps (CSOM), previously proposed by first author. The first approach of this paper is to apply CSOM classifier for color face recognition. Main variant of this approach has the follwing processing stages: (a) color conversion from the 3D RGB space into an optimum 2D selected color feature space; (b) principal component analysis (PCA) for each resulted color component; (c) feature fusion; (d) CSOM/SOM classification. The proposed system is experimented using the ESSEX database of color facial images; it contains 151 subjects, where each is represented by 20 pictures of 200 times 180 pixels. The obvious advantage of CSOM over SOM is proved. The second approach of this paper is the implementation of a real time CSOM face recognition system using the decision fusion that combines the recognition scores generated from visual channels (R, G, B, and Y classifiers) with the thermal infrared classifier. As a source of color and infrared images, we used our VICE ACE database of 38 subjects. Any picture has 160 - 120 pixels; for each subject there are pictures corresponding to various face expressions and illuminations, in the visual and infrared spectrum. The spectral sensitivity of infrared images corresponds to the longwave range of 7.5-13 mum. The very good experimental results are given, proving nearly invariance to illumination conditions

关键词： Self organizing feature maps image recognition Face recognition image color analysis Principal component analysis image databases Infrared imaging Lighting Infrared spectra image converters

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