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检索条件"主题词=Image Edge Detection"

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SAR-image edge detection using artificial neural network

SAR-image edge detection using artificial neural network

引用

International Conference on Mathematical Methods in Electromagnetic Theory (MMET)

作者： A. Naumenko V. Lukin K. Egiazarian Department of Transmitters Receivers and Signal Processing Kharkov National AeroSpace University KhAI Kharkov Ukraine Tampere University of Technology Tampere Finland

A task of edge detection in single-look synthetic aperture radar (SAR) images is considered. It is shown that edge detector performance can be improved by using an artificial neural network (NN). Selection of input local parameters is studied. As shown, it is reasonable to employ a limited number of elementary edge detectors that are the most informative (insensitive to noise) and that differ by the used principle of edge detection. ROC curves obtained for training and verification data sets are presented demonstrating efficiency of the designed NN based edge detector.

关键词： image edge detection Detectors Artificial neural networks Noise Training Synthetic aperture radar Joints

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Application of an Improved Method of Wavelet Transform in image edge detection

Application of an Improved Method of Wavelet Transform in Im...

引用

International Conference on Computational Intelligence and Security

作者： Shulei Wu Zongan Zhang Huandong Chen Jinmei Zhan College of Information Science and Technology Hainan Normal University HaiKou China

edge detection is widely used to extract and analyze contour and texture feature. This paper focuses on researches of wavelet analysis and the application of its improved method in edge detection. The basic idea of the improved method is that we first preprocess image, and the image texture will be shown when processing it under a uniform threshold, then the texture curve becomes thinner after the morphological processing for the texture is done. Experimental results show that the improved texture is more clearly and accurately under the same threshold and image texture becomes much thinner after morphological preprocessing. The improved method is effective.

关键词： Wavelet transforms image edge detection Smoothing methods Wavelet analysis Runtime Feature extraction

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Research of image edge detection and application based on grey prediction model

Research of image edge detection and application based on gr...

引用

International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)

作者： Jun-Feng Li Wen-Zhan Dai Department of Automatic control Zhejiang Science and Technology University HangZhou China College of Mechanical Engineering Donghua Uinversity Shanghai China

On the basis of grey prediction theory, a new method of image edge detection is put forward. First, the method of edge detection based on grey GM(1,1) prediction model and its realizing principles of this method are discussed, and the image edges can be detected from eight directions by means of this method. Moreover, the corresponding simulation experiment is implemented and its ability of edge detection is tested. At last, this method is used to detect the edge of licence plate. Compared with other methods, the result shows that this algorithm can make the character segmented from the background distinctly, and advance accuracy of vehicle license plate recognition effectively.

关键词： image edge detection Predictive models Licenses Pattern recognition Wavelet analysis Pattern analysis Prediction theory Testing Vehicles

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Application of Improved Canny Algorithm in image edge detection

Application of Improved Canny Algorithm in Image Edge Detect...

引用

International Conference on Computers, Communications, and Systems (ICCCS)

作者： Siyang Xu Peng Zhang Xin Song Runfeng Zhang Hebei Key Laboratory of Marine Perception Network and Data Processing School of Computer and Communication Engineering Northeastern University at Qinhuangdao Qinhuangdao China School of Computer and Communication Engineering Northeastern University at Qinhuangdao Qinhuangdao China

ISBN: (数字)9798350350210

ISBN: (纸本)9798350350227

To solve the problems of poor denoising effect and limited threshold accuracy in traditional Canny algorithm, an improved Canny algorithm is proposed in this paper. Firstly, an image preprocessing method based on hybrid filtering is developed. On the basis of Gaussian filtering, the adaptive median filtering is adopted to denoise the image, and homomorphic filtering is used to enhance the high frequency information of image in the frequency domain. Besides, Sobel operator is used instead of Roberts operator to calculate the gradient amplitude and direction of the image. Finally, an iterative threshold selection method combining MEM and Otsu is proposed. After obtaining the high and low thresholds by MEM and Otsu respectively, the optimal threshold is calculated using iterative algorithm, which can improve the accuracy and adaptability of threshold. It is proved that the proposed algorithm can preserve the image details while ensuring the denoising effect, and the detected edges have better connectivity and smoothness.

关键词： Micromechanical devices Accuracy Filtering image edge detection Noise reduction Diversity reception Noise

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A Improved image edge detection Algorithm Based on H.264 Intra Prediction

A Improved Image Edge Detection Algorithm Based on H.264 Int...

引用

International Conference on Intelligence Science and Information Engineering (ISIE)

作者： Yinyuan Wang Department of Mathematics and Physics Wuhan Polytechnic University Wuhan China

High accuracy prediction for pixel information of current frame can be achieved by means of intra prediction of H.264 video encode, the image data can be transmitted with minimal residual data. The feasibility of fast edge detection for current frame using intra prediction data during H.264 encoding process has been studied, and edge detection by intra prediction data has been actualized. Finally advantages and disadvantages of the algorithm, and the aspect needs to be improved has figured out.

关键词： image edge detection Predictive models Prediction algorithms image coding Laplace equations Rate-distortion Streaming media

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Self-Adaptive Threshold Canny Operator in Color image edge detection

Self-Adaptive Threshold Canny Operator in Color Image Edge D...

引用

Congress on image and Signal Processing, CISP

作者： Tao Luo Xi-feng Zheng Tie-fu Ding CIOMP Graduate School Chinese Academy and Sciences Changchun China Changchun Institute of Optics Fine Mechanics and Physics Chinese Academy and Sciences Changchun China

It needs to set the two thresholds of classical Canny Operator manually, which confined this algorithm. A lot of research on adaptive thresholds choice method has been done to conquer this shortcoming. Based on the gradient histogram, which is studied constantly in the past, a method of gradient histogram difference diagram with adaptive image classification techniques is proposed in this paper. It automatically sets the two thresholds, and avoids disconnected or false edges in detection. Experiments prove that the method is threshold-adaptive and the edge detection performs well in color image whose larger gradient amplitude pixels are mainly located in the edges between the target and background.

关键词： Color image edge detection Histograms Digital filters Nonlinear filters Surface fitting Signal to noise ratio Optical filters Physics image classification

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Vector-valued color image edge detection using Green function approach

Vector-valued color image edge detection using Green functio...

引用

Iranian Machine Vision and image Processing (MVIP)

作者： Zahra Zareizadeh Reza P. R. Hasanzadeh Gholamreza Baghersalimi DSP Research Laboratory Department of Electrical Engineering University of Guilan Rasht Iran

In this paper, an extended version of differential equations is introduced on the concept of edge detection methods for color images based on the correlation of R, G, and B components. To obtain the color edge detection operator, the Green's function approach is used to derive the obtained differential equation. The proposed color edge detection method is compared with other color edge detection methods on the several test images. The experimental results show the feasibility of the proposed approach.

关键词： image edge detection image color analysis Color Green function Detectors Equations Pixel

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Research on Improved Algorithm of Infrared image edge detection for Electrical Equipment

Research on Improved Algorithm of Infrared Image Edge Detect...

引用

Chinese Automation Congress (CAC)

作者： Lihong Zhao Qiang Gao Xiao Yu Yu Song Tianjin University of Technology Tianjin China

ISBN: (数字)9781728176871

ISBN: (纸本)9781728176888

In order to diagnose the thermal anomaly of electrical equipment in time, an improved Canny edge detection algorithm for infrared image of electrical equipment is proposed to facilitate fault location. To improve the dexterity and adaptive ability of Canny edge detection algorithm, wavelet transform and improved homomorphism are used Instead of Gauss filter, the filtering algorithm can denoise the image, reduce the influence of noise and light, keep the edge intensity and details; improve Sobel operator, increase the gradient amplitude in 45 0 and 135 0 directions, so as to improve the edge positioning effect; use non maximum suppression to refine the image, and use Otsu algorithm according to the image gray level to adaptively obtain high and low thresholds, and use high and low thresholds Value algorithm detects and connects edges. Through the image verification of electrical equipment, the experimental data shows that the improved algorithm has better detection accuracy and stronger adaptability than Canny edge detection algorithm.

关键词： image edge detection Control theory Filtering Noise reduction detection algorithms

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The Application of image edge detection in Matching Region Selection of Underwater Terrain-Aided Navigation

The Application of Image Edge Detection in Matching Region S...

引用

International Conference on Computational Intelligence and Software Engineering (CiSE)

作者： Jian Shen Jingyuan Zhang Xuan Luo Department of Weaponry Engineering Naval University of Engineering Wuhan China

Matching region selection is one of the bases of underwater terrain-aided navigation technology. Boundary division of topographic statistical map, which provides convenience to matching region selection and route planning, can be accomplished quickly when using image edge detection on it. This article firstly introduced the characteristics of edge detection operators; the grayscale image was transformed from the underwater terrain model according to the edge detection requirement. Terrain entropy was calculated as well based on the grayscale level information. Then edges in the terrain entropy image were determined using three kinds of edge detection operators respectively. Finally, the underwater terrain matching simulation was implemented in the selected regions which proved the feasibility of matching region selection based on the image edge detection.

关键词： image edge detection Entropy Detectors Gray-scale Pixel Sonar navigation

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Adaptive image edge detection Algorithm Based on Canny Operator

Adaptive Image Edge Detection Algorithm Based on Canny Opera...

引用

International Conference on Advanced Information Technology and Sensor Application (AITS)

作者： Liying Yuan Xue Xu School of Automation Harbin University of Science and Technology Harbin China

For single edge detection methods causing important and weak gradient change edge missing problems, this paper adopts the method of combining global with local edge detection to extract edge. The global edge detection can obtain the whole edge, which uses adaptive smooth filter algorithm based on Canny operator. Compared with effect of edge detection from the Canny operator and Sobel operator, the edge from improved Canny operator is the most complete and rich, do not contain false edge. To the whole detection failed to get the edge, the paper selects local area detection method for edge extraction. Local edge detection which uses distance weighted average method based on k-average method can overcome the impact of outliers on clustering effectively. Complete skull image edge is got through edge detection method that combines global with local. Compared with the Canny edge detection method, this algorithm can extract image edge effectively, and have the powerful anti-noise ability.

关键词： image edge detection Algorithm design and analysis Filtering algorithms Smoothing methods Filtering Adaptive filters Wavelet transforms

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