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检索条件"主题词=Image Edge Detection"

共 27859 条记录，以下是121-130 订阅

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A charge-controlled memristor model for image edge detection with a memristive grid

A charge-controlled memristor model for image edge detection...

引用

IEEE International Caracas Conference on Devices, Circuits and Systems

作者： Arturo Sarmiento-Reyes Yojanes R. Velásquez Electronics Department INAOE Puebla Pue. Mexico

ISBN: (纸本)9781538619636

image edge detection has been carried out in last years by implementing nonlinear resistive grids. With the advent of the memristor as a real device, recent explorations have been oriented to the achieve this processing by using a grid that is formed by memristors. In this paper, we develop a charge-controlled model for the memristor that is incorporated to the grid. The qualitative behaviour of output images of the proposed memristive grid exhibits a high performance and the comparison with the outcomes made by humans show excellent agreement.

关键词： Memristors image edge detection Mathematical model Smoothing methods Analytical models Integrated circuit modeling

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Study on wood image edge detection based on Hopfield neural network

Study on wood image edge detection based on Hopfield neural ...

引用

International Conference on Information and Automation (ICIA)

作者： Dawei Qi Peng Zhang Xuejing Jin Xuefei Zhang Northeast Forestry University Harbin China Harbin Applied Vocational and Technical College Harbin China

A Hopfield neural network dynamic model with an improved energy function was presented for edge detection of log digital images in this paper. Different from the traditional methods, the edge detection problem in this paper was formulated as an optimization process that sought the edge points to minimize an energy function. The dynamics of Hopfield neural networks were applied to solve the optimization problem. An initial edge was first estimated by the method of traditional edge algorithm. The gray value of image pixel was described as the neuron state of Hopfield neural network. The state updated till the energy function touch the minimum value. The final states of neurons were the result image of edge detection. The novel energy function ensured that the network converged and reached a near-optimal solution. Taking advantage of the collective computational ability and energy convergence capability of the Hopfield network, the noises will be effectively removed. The experimental results showed that our method can obtain more vivid and more accurate edge than the traditional methods of edge detection.

关键词： image edge detection Hopfield neural networks MIMO Exponential distribution Phased arrays Radar imaging Hardware Apertures Sampling methods High-resolution imaging

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Performance Comparison of FOD based edge Detector and Traditional edge Detectors on Fish image edge detection

Performance Comparison of FOD based Edge Detector and Tradit...

引用

Computational Performance Evaluation (ComPE), International Conference on

作者： Jayashree Deka Shakuntala Laskar Electrical &Electronics Engineering Assam Don Bosco University Guwahati Assam

ISBN: (数字)9781728166445

ISBN: (纸本)9781728166452

detection of edge in image is a fundamental requirement involved in computer vision and image processing applications. In this paper, the performance of traditional edge detectors is compared with Grunwald-Letnikov(G-L) based Fractional Order Derivative (FOD) based edge detector. The performance is measured for both types of detectors under noise free and noisy conditions on fish images. image quality assessment (IQA) parameters Mean Square Error (MSE), Peak Signal-to-Noise-Ratio (PSNR), Structural Similarity Index (SSIM) and Feature Similarity Index (FSIM) are used for quantitative comparison of the edge detection. From the experimental results, it is observed that FOD based edge detector shows better results than the traditional edge detectors under noisy conditions either in terms of quality or quantity.

关键词： image edge detection Detectors Fish Noise measurement Gaussian noise Speckle image quality

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A New Video image edge detection Approach

A New Video Image Edge Detection Approach

引用

International Conference on Computational Intelligence and Software Engineering (CiSE)

作者： Shi-yin Li Xiao-yan Jiang Xiao-long Feng Yuan Yang School of Information and Electrical Engineering China University of Mining and Technology Xuzhou Jiangsu China

edge detection is an important pretreatment process in image processing and computer vision. But it is still a challenge on how to get edge information efficiently in video image processing. In this paper, firstly, we analyze several traditional operators and then suggest an improved operator based on Isotropic Sobel operator. Secondly, in order to get a better performance in video image processing, we suggest a new video image edge detecting approach which combines DSP/BIOS and the improved operator based on DM642. The experimental results show that the new approach remains advantages of traditional operators, meanwhile, it can reduce the effect of objects' moving and has a fine detecting effect in video image processing.

关键词： image edge detection Convolution Digital signal processing image processing Laplace equations Pixel Digital signal processors Signal processing algorithms Delay Computer vision

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X-Ray image edge detection Based on Wavelet Transform and Lipschitz Exponent

X-Ray Image Edge Detection Based on Wavelet Transform and Li...

引用

International Symposium on Intelligent Information Technology and Security Informatics, IITSI

作者： Guowei Tang Xiaoqing Zhong Fangzhou Zhang Zhenying Jin College of Computer and Information Technology Daqing Petroleum Institute Daqing China Daqing Drilling Group The Second Geological Logging Company Songyuan China

The characteristics of X-ray testing image are analyzed and an edge detection algorithm based on the multi-scale and multi-resolution of wavelet transform is proposed. According to the propagation of modulus maximum under different scales and the relationship between wavelet transform and Lipschitz exponent, the local maxima in vertical, horizontal and diagonal directions are detected by quadratic B-spline and Mallat algorithm was used in wavelet decomposition to determine defect edges. The experiment results prove that the algorithm of edge detection works fine the X-ray images.

关键词： X-ray imaging image edge detection Wavelet transforms X-ray detection X-ray detectors Welding image analysis Pipelines Information technology Wavelet analysis

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Research on image edge detection Method Based on Wolf King Algorithm

Research on Image Edge Detection Method Based on Wolf King A...

引用

International Conference on Information Systems and Computer Aided Education (ICISCAE)

作者： Chang Jian Fan Yimeng School of Software Liaoning Technical University Huludao China

ISBN: (数字)9798350350760

ISBN: (纸本)9798350350777

Aiming at the problem that the current image edge detection algorithm is not accurate enough to capture the edge contour, an image edge detection algorithm based on Wolf king algorithm was proposed. Firstly, local principal component analysis and generalized Gaussian prior were used to improve the Gaussian filter, so that the image noise was effectively suppressed and the detail information was significantly enhanced. Secondly, multi-direction gradient calculation is proposed to reduce the influence of noise on gradient estimation and provide more information to locate the edge, so as to determine the position and direction of the edge more accurately. Finally, the Wolf king algorithm proposed in this paper is based on the grey Wolf algorithm, which is improved by using the nonlinear convergence factor and adaptive weight strategy. The improved algorithm is used to optimize Otsu to obtain the image threshold, realize the automatic acquisition of the image high and low threshold, and further improve the accuracy of the algorithm. More detailed edge contour information can be extracted from the image processed by the above method. The experimental results show that the peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) of the images processed by the LPG-PCA image denoising algorithm are increased by 18.8% and 13.6% respectively compared with the traditional Gaussian filtering. In terms of threshold processing, compared with most existing edge detection algorithms, the Wolf king algorithm proposed in this paper can accurately detect the edge contour, and it is more coherent in edge extraction, with better unilateral response effect and better algorithm performance.

关键词： Accuracy PSNR image edge detection Simulation Noise Data mining Optimization image denoising Convergence Principal component analysis

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A SoC design and implementation of dynamic image edge detection based on the LEON3 open source processor

A SoC design and implementation of dynamic image edge detect...

引用

International Conference on Natural Computation (ICNC)

作者： Zhenni Li Jingjiao Li Liang Li Yue Zhao Chaoqun Rong College of Information Science and Engineering Northeastern University Shenyang China

ISBN: (纸本)9781467347129

A SoC design of dynamic image edge detection system is implemented based on the LEON3 open source soft-core processor in this paper. Sobel edge detection algorithm is selected and designed as an IP core and embedded to the SoC through the interconnect interface AMBA AHB bus. A D5M camera interface IP core is also designed to collect and transfer dynamic image data. The SoC is implemented on FPGA and the dynamic image edge detection IP is simulated by Modelsim and tested within the LEON3 SoC platform. Comparing to the existing dynamic image edge detection system based on microcontroller or DSP, results indicate that this special SoC could fully shows its advantage in high-speed and flexibility. Also the method this paper presents to design a SoC using AMBA AHB bus in the LEON3 architecture is reliable and referable.

关键词： image edge detection System-on-chip IP networks Cameras Writing Registers Data processing

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COLOUR image edge detection USING QUATERNION QUANTIZED LOCALIZED PHASE

COLOUR IMAGE EDGE DETECTION USING QUATERNION QUANTIZED LOCAL...

引用

European Signal Processing Conference

作者： Soo-Chang Pei Yu-Zhe Hsiao Grad. Inst. of Commun. Eng. Nat. Taiwan Univ. Taipei Taiwan

Recently, a novel edge detection method for gray-level image using quantized localized phase was proposed in [1]. The rationale of this method for edge detection is that we can obtain more edge and contour information of interested image from its quantized localized phase rather than from its magnitude. This is because the phase information is of greater importance on edge areas than on smooth areas. In this paper, we generalize the method in [1] to deal with colour image edge detection using quaternion polar form and two dimensional quaternion short-term Fourier transform (2-D QSTFT). By applying 2-D QSTFT to colour image, locally quantizing the phase part of quaternion polar form of the transformed image, and then reconstructing the resulted image using 2-D QISTFT and quantized phase, we can preserve the edge information and therefore achieve the goal of colour image edge detection.

关键词： Quaternions image edge detection image color analysis Fourier transforms image reconstruction

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The Multispectral image edge detection Based on Clifford Gradient

The Multispectral Image Edge Detection Based on Clifford Gra...

引用

International Conference on Computational Intelligence and Security

作者： Hui Liu Chen Xu Wenming Cao College of Information Engineering Shenzhen University Shenzhen China Guangdong University of Foreign Studies (GDUFS) Guangzhou China College of Mathematics and Computational Science Shenzhen University Shenzhen China

ISBN: (纸本)9781457720086

Taking full advantage of the multispectral properties of multispectral image, we should get the exceptional accurate edge. Clifford algebra is suit for dealing the multidimensional data, and can give expression to the association of the data better than the general algebra. It is a very rewarding method that to via Clifford algebra to get the edge of the multispectral image. In the paper, we discuss the base properties of Clifford algebra firstly, and then detail the Clifford algebra description of the multispectral image. Lastly the new Multispectral image edge detection algorithm is proposed, which is based on the Clifford gradient. Compared the algorithm with maximal entropy edge detection algorithm in experiments, we generalize a conclusion that the new method can retain the more perfect edge information of the image.

关键词： image edge detection Vectors Algorithm design and analysis Entropy Signal processing algorithms image color analysis

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On image edge detection method

On image edge detection method

引用

International Conference on Electrical and Control Engineering (ICECE)

作者： Hou Qizhen Zhang GuoLong Civil Aviation University of China Tianjin China

edge detection techniques in image processing and computer vision occupies a special position. How to quickly and accurately extract the image edge information of objects has been a hot research at home and abroad. This article describes several classical edge detection operator and the recent emergence of a new edge detection method, and its matlab simulation studies and a comparative analysis.

关键词： image edge detection Noise Wavelet transforms Convolution Morphology Accuracy

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