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共 276 条记录，以下是251-260 订阅

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2007 International symposium on Intelligent signal processing and Communications Systems Proceedings

2007 International Symposium on Intelligent Signal Processin...

引用

ieee International symposium on Intelligent signal processing and Communication Systems (ISPACS)

The following topics are dealt with: coding theory; speech and audio signal processing; wireless personal communication; system on chip; SoC; direct of arrrival estimation; image enhancement and filtering; CDMA; TDMA; OFDM; radar tracking; radar detection; image denoising; feature extraction and detection; information theory; spectral estimation; image segmentation; wireless ad hoc and sensor network; FPGA; embedded system; parameter estimation; channel estimation; image coding; analog circuits; digital filters; filter bank; video coding and transmission; MIMO communication; motion estimation; multimedia management; computational intelligence; image fusion; communication protocols; face detection; PCA; ICA; SVD; optical-signal processing; radar signal processing.

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On Improved MRI Segmentation Using Hierarchical computational intelligence Techniques and Textural Analysis of the Discrete Wavelet Transform Domain

On Improved MRI Segmentation Using Hierarchical Computationa...

引用

ieee International symposium on Intelligent signal processing

作者： D. A. Karras Chalkis Institute of Technology Automation Department Hellenic Open University Athens Greece

ISBN: (纸本)1424408296;97

This paper investigates a novel feature extraction approach to MRI segmentation based on identifying the critical image edges by using textural (cooccurrence matrices) analysis of the discrete wavelet transform (DWT) domain. Furthermore, the presented approach is based on formulating the problem as a two-stage unsupervised classification task using a modified Kohonen's self organizing feature map (SOFM) along with independent component analysis (ICA). The main goal of such a research effort is to better identify abrupt textural image changes without increasing the presence of noise in the resulting image. The suggested methodology is based on novel discrete wavelet descriptors involving the discrete k-level 2-D wavelet transform and cooccurrence matrices analysis applied to sliding windows raster scanning the original image. The proposed two-stage classification scheme applied to such textural wavelet descriptors and using a modified vector quantizing self-organizing feature map (SOFM) and ICA analysis is compared with a corresponding two-stage scheme involving PCA analysis and the widely used SOFM, trained with Kohonen's algorithm. The feasibility of this novel two-stage proposed approach is studied by applying it to the edge structure segmentation problem of brain slice MRI images. The promising results presented in the experimental study illustrate a performance favourably compared, also, to that of traditional Sobel edge detectors supported by usual contour tracing methods.

关键词： Discrete wavelet transforms Magnetic resonance imaging computational intelligence Wavelet analysis Wavelet domain Independent component analysis image texture analysis image segmentation image edge detection image analysis

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Designing a Fuzzy Rule Based System to Estimate Depth of Anesthesia

Designing a Fuzzy Rule Based System to Estimate Depth of Ane...

引用

ieee symposium on computational intelligence and Data Mining (CIDM)

作者： V. Esmaeili A. Assareh M. B. Shamsollahi M. H. Moradi N. M. Arefian Biomedical Signal and Image Processing Laboratory (BiSIPL) Sharif University of Technology Iran Amirkabir University of Technology슠 Iran Department of Anesthesia Shahid Beheshti University Iran

Estimating the depth of anesthesia (DOA) is still a challenging area in anesthesia research. The objective of this study was to design a fuzzy rule based system which integrates electroencephalogram (EEG) features to quantitatively estimate the DOA. The proposed method is based on the analysis of single-channel EEG using frequency and time domain features as well as Shannon entropy measure. The fuzzy classifier is trained with features obtained from four subsets of data comprising well-defined anesthesia states: awake, moderate, general anesthesia, and isoelectric. The classifier extracts efficient fuzzy if-then rules and the DOA index is derived between 100 (full awake) to 0 (isoelectric) using fuzzy inference engine. To validate the proposed method, a clinical study has conducted on 22 patients to construct 4 subsets of reference states and also to compare the results with CSM monitor (Danmeter, Denmark), which has revealed satisfactory correlation with clinical assessments

关键词： Fuzzy systems Knowledge based systems Anesthesia Direction of arrival estimation Electroencephalography Frequency domain analysis Time domain analysis Entropy Frequency measurement Time measurement

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Development and Characterization of CMOS-based Monolithic X-ray imager Sensor

Development and Characterization of CMOS-based Monolithic X-...

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2007 ieee Nuclear Science symposium Conference, vol.5

作者： Gyuseong Cho Bo Kyung Cha Jun Hyung Bae Byoung-Jik Kim Sung Chae Jeon Young-Hee Kim Gyu-Ho Lim Department of Nuclear and Quantum Engineering Korea Advanced Institute of Science and Technology Daejeon South Korea KERI Electro-bio sensor research group Gyeonggi South Korea Department of Electric Engineering Changwon NatE28099l University Changwon South Korea

We proposed a new design of CMOS-based X-ray image sensor with monolithically grown pixellated CsI(TI) on photosensor area for securing the maximally achievable spatial resolution for a given sensitivity determined by the CsI(Tl) thickness at a certain X-ray energy. The test version of a CMOS image sensor (CIS) was designed and fabricated using AMIS 0.5μm standard CMOS process. The chip includes an 128×128 CMOS active pixel sensor (APS) array with 50μm pitch, a row/column decoder, a sample & hold circuit with buffers, an analog signal processor (ASP) and a 10 bit pipe-lined analog-to-digital converter (ADC). A data acquisition system (DAS) for operating the image sensor and for processing digital signals was also developed. Then the X-ray image sensor was fabricated by depositing thermally evaporated CsI(Tl) blocks of 50μm thick on each pixel sensor of CIS using a photo-resist pattern as a basis of CsI(Tl) deposition. Linearity of the response, dark current noise, dynamic range and spatial resolution etc. were measured with bare and scintillator-coupled CIS image sensors by green LED light and X-ray beam respectively. The mean charge generation rate per pixel measured at room temperature in the dark was about 45,600 electrons/sec which results in he electronic noise of 210 electrons for 1sec exposure time. Therefore the dynamic range is ～67 dB if we consider the statistical noise together. The spatial resolution of scintillator-coupled CMOS image sensor was measured to be ～7 lp/mm by a lead line pattern and 80 kVp X-ray. This works was supported by Nuclear R&D Program of MOST, Korea through KOSEF.

关键词： X-ray imaging image sensors Sensor phenomena and characterization Spatial resolution CMOS image sensors computational intelligence Society Pixel CMOS process Sensor arrays signal processing

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Instance-based location estimation algorithm for a pedestrian in multiple color dynamic images

Instance-based location estimation algorithm for a pedestria...

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ieee International symposium on Intelligent signal processing and Communication Systems (ISPACS)

作者： Yutaka Hatakeyama Akimichi Mitsuta Kaoru Hirota Department of Computational Intelligence and Systems Science Interdisciplinary Graduate School of Science and Engineering Tokyo Institute of Technology Yokohama Japan Customer Solutions Development Company Limited Kawasaki Japan

Location estimation algorithm for a pedestrian is proposed for the real surveillance system based on color instances with color dynamic images under low illumination, where the proposed color instances consist of color-difference, moving possibility region, and previous detection objects in edge region using time series data. It provides useful detection result for too low illuminated situation. Experimental results for dynamic image taken under low illumination in streets show that detected frames with the proposed algorithm increase by 20% compared with detection result without color instances. The proposed algorithm is under consideration for use in a relatively poor security downtown area in Japan.

关键词： Color signal processing algorithms Surveillance Object detection image edge detection Cameras Lighting Detection algorithms computational intelligence Extraterrestrial measurements

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Combined image signal processing for CMOS image Sensors

Combined Image Signal Processing for CMOS Image Sensors

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Proceedings of 2006 ieee International symposium on Circuits and Systems,Volume 7

作者： Kimo Kim In-Cheol Park System LSI Division Samsung Electronics Company Limited South Korea Department of Electrical Engineering and Computer Science KAIST South Korea

This paper presents an efficient image signal processing structure for CMOS image sensors to achieve low area and power consumption. Although CMOS image sensors (CISs) have various benefits compared with charge-coupled devices (CCDs), the images obtained from CISs have much lower quality than those from CCDs. To improve the quality of CIS images, it is required to do reproducing and enhancing processings such as color interpolation, white balancing, color correction, gamma correction and color conversion. They are implemented individually in most conventional designs though they have similar functional characteristics. In this proposed structure, the gamma correction block is moved to the front in order to combine several image signal processings into one block. An efficient compensation scheme is also proposed to reduce the errors caused by the moving of the non-linear gamma correction. A prototype CIS image signal processor is implemented in Verilog-HDL and synthesized with 0.18μm standard cell library. Experimental results show that the proposed structure reduces area and power consumption by 23.8% and 31.1%, respectively.

关键词： signal processing CMOS image sensors Color Energy consumption computational intelligence Society Interpolation image converters Error correction Prototypes Hardware design languages

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Design of a Digital Architecture for Real-Time Video, Enhancement Based on Illuminance-Reflectance Model

Design of a Digital Architecture for Real-Time Video, Enhanc...

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Midwest symposium on Circuits and Systems (MWSCAS)

作者： Hau T. Ngo Ming Z. Zhang Li Tao Vijayan K. Asari Computational Intelligence and Machine Vision Laboratory Department of Electrical and Computer Engineering Old Dominion University Norfolk VA USA

A design of a high performance digital architecture for a nonlinear image enhancement technique is presented in this paper. The image enhancement is based on illuminance-reflectance model which improves the visual quality of digital images and video captured under insufficient or non-uniform lighting conditions [1]. Systolic, pipelined and parallel design techniques are utilized effectively in the proposed FPGA-based architectural design to achieve real-time performance. Estimation and folding techniques are used in the hardware algorithmic design to achieve faster, simpler and more efficient architecture. The video enhancement system is implemented using Xilinx's multimedia development board that contains a VirtexII-X2000 FPGA and it is capable of processing approximately 66 Mega-pixels (Mpixels) per second.

关键词： signal processing algorithms image enhancement Field programmable gate arrays Digital signal processing Computer architecture image coding Streaming media Parallel processing Reflectivity Algorithm design and analysis

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2005 ieee International Workshop on Intelligent signal processing (ieee Cat. No. 05EX1039)

2005 IEEE International Workshop on Intelligent Signal Proce...

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ieee International symposium on Intelligent signal processing

The following topics were dealt with: image processing; biomedical applications; signal processing; control systems; sensors; fault detection; neural networks; computational intelligence techniques; and real-time syst...

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Robot navigation using biosonar for natural landmark tracking

Robot navigation using biosonar for natural landmark trackin...

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ieee International symposium on computational intelligence in Robotics and Automation (CIRA)

作者： Maosen Wang Hashem Tamimi A. Zell Computer Science Department University of Tübingen Tubingen Germany

A biosonar based mobile robot navigation system is presented for the natural landmark classification using acoustic image matching. The aim of this approach is to take advantage of the perceived properties of bats' prey and landmark identification mechanisms for mobile robots' tracking of natural landmarks. Recognizing natural landmarks like trees through sequential echolocation and acoustic image analyzing allows mobile robot to update its location in the natural environment. In this work, a working implementation of the biosonar system on a mobile robot is shown. It collects sequential echoes to produce acoustic images through digital signal processing (DSP), then compresses images with discrete cosine transform or pyramid algorithm. Fast normalized cross correlation (FNCC) and kernel principal component analysis (KPCA) are respectively used to make the final classification. Experimental result indicates that a mobile robot can achieve the ability of natural landmark classification only based on biomemetic sonar, the topological congruency of the relational structure with cross correlation in acoustic images is reliable in time domain, while the kernel principle component analysis based classification is robust in frequency domain and demands fewer echolocation for landmark classification.

关键词： Navigation Mobile robots image analysis Digital signal processing Kernel image matching Mechanical factors image recognition image coding Discrete cosine transforms

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Comparison of three change detection algorithms for an electronics manufacturing process

Comparison of three change detection algorithms for an elect...

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ieee International symposium on computational intelligence in Robotics and Automation (CIRA)

作者： M. Ruusunen M. Paavola M. Pirttimaa K. Leiviska Control Engineering Laboratory University of Oulu Oulun yliopisto Finland Nokia Corporation Oulu Finland VTI Technologies Helsinki Finland

In a sequential manufacturing process, a product proceeds through different manufacturing stages. At these stages, sensors monitor the features of the product. In this paper, the information produced by the sensors is employed to detect abrupt changes in process variables. The developed algorithms contribute to an on-line application to a manufacturing system. A literature survey revealed the most common methods utilized in change detection. On-line applicability and transferability to new manufacturing lines are the most important features for real applications. During both on-line and off-line tests, some of the presented methods showed satisfactory results. Real-time, on-line manufacturing environment sets also its requirements for the applications. In the future, the possibility of combining expert knowledge with the aforementioned methods is the crucial point to study. The information thus received has usage in the preventive maintenance and quality control.

关键词： Detection algorithms Manufacturing processes Testing Quality control Change detection algorithms Monitoring Preventive maintenance Event detection signal processing image edge detection

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