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检索条件"主题词=Image Edge detection"

共 27755 条记录，以下是41-50 订阅

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Preprocessing in a Reaction-Diffusion Algorithm Designed for image edge detection

Preprocessing in a Reaction-Diffusion Algorithm Designed for...

引用

IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)

作者： Nomura, Atsushi Okada, Koichi Mizukami, Yoshiki Yamaguchi Univ Fac Educ Yoshida 1677-1 Yamaguchi 7538513 Japan Yamaguchi Univ Ctr Promot Higher Educ Yamaguchi Japan Yamaguchi Univ Grad Sch Sci & Technol Innovat Yamaguchi Japan

ISBN: (纸本)9781509058440

This paper proposes a reaction-diffusion algorithm for image edge detection in the framework of FitzHugh-Nagumo model. FitzHugh-Nagumo model has two variables, activator and inhibitor, which are governed by two time-evolving differential equations, respectively, for simulating a process of biological excitation and inhibition phenomenon observed along a nerve. The proposed algorithm places FitzHughNagumo elements, which contains a pair of activator and inhibitor variables, at the image grids. At first, the algorithm gives initial conditions of the elements according to an inputted gray level image. Then, it performs preprocessing for reducing noise by using only inhibition equation at the elements, and finally performs edge-detection by using both excitation and inhibition equations. The performance of the proposed algorithm is investigated with artificial and real images.

关键词： image edge detection Signal processing algorithms Mathematical model Dogs Brightness Trajectory Chemicals

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AN IMPROVED WAVELET THRESHOLD FUNCTION AND ITS APPLICATION IN image edge detection 16

AN IMPROVED WAVELET THRESHOLD FUNCTION AND ITS APPLICATION I...

引用

International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)

作者： Wang, Cui Deng, Cai-Xia Hu, Zhi-Bin Harbin Univ Sci & Technol Sch Sci Harbin 150080 Peoples R China

ISBN: (纸本)9781728129969

In order to filter out image noise better and make it have better clarity, continuity and anti-noise performance in image edge extraction. Firstly, this paper constructs a new threshold function, compared with the traditional soft and hard threshold function and some existing improved methods, the threshold function has better adjustability and it is also continuous and almost smooth everywhere. When dealing with the wavelet coefficients, the real information on them can be retained more, and the noise can be effectively filtered at the same time. The simulation experiment shows that the image processed by the new threshold function has a high PSNR and a small MSE, which can be closer to the original image. Finally, the improved threshold function de-noising algorithm and the dyadic wavelet transform modulus maximum edge detection algorithm are combined to apply to image edge detection. By combining the advantages of the two algorithms, so that we can get clearer and more continuous image edges, and the contour is more complete.

关键词： Threshold function Dyadic wavelet transform image de-noising image edge detection

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Study on Improved Algorithm for image edge detection

Study on Improved Algorithm for Image Edge Detection

引用

2nd International Conference on Computer and Automation Engineering (ICCAE)

作者： Jiang Lixia Zhou Wenjun Wang Yu Bohai Shipbldg Vocat Coll Sch Elect Engn Huludao Peoples R China Heilongjiang Inst Sci & Technol Sch Comp & Informat Engn Harbin Peoples R China

ISBN: (纸本)9781424455690

It has enormous development with the wavelet theory applied to image edge detection for its well properties of multi-scale edge detection. The traditional wavelet algorithm has bad sensitive to direction properties that applied to analysis image edge detection, and it is the major disadvantage. So the traditional wavelet about this is improved and puts forward a kind of new wavelet transform algorithm used for image edge detection. Compared improved wavelet algorithm with traditional wavelet for edge detection, it shows that new wavelet transform is more suitable for image edge detection and the clearer detection result is obtained. Complete image edge as well as accurate positioning and can reserve better detail information.

关键词： image edge detection Algorithm Wavelet Canny operator

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Implementation of image edge detection on FPGA using XSG

Implementation of Image Edge Detection on FPGA using XSG

引用

IEEE International Conference on Circuit, Power and Computing Technologies (ICCPCT)

作者： Reddy, G. Bharadwaja Anusudha, K. Pondicherry Univ Dept Elect Engn Pondicherry India

ISBN: (纸本)9781509012770

image edge detection plays a vital role in image processing. edges are the pre-dominant features of an image which is mainly used to analyze the images and to process that image. Hardware implementation of image edge detection is essential for real time applications to increase the speed of operation. This paper proposes a method that uses a graphical user interface that combines MATLAB, Simulink and Xilinx System Generator(XSG) to generate a code which is hardware implemented onto Spartan-3E Field Programmable Gate Array (FPGA). This Paper also provides an image edge detection using Robert, Prewitt, Sobel and Laplacian of Gaussian (LoG) operators and implemented on FPGA.

关键词： image edge detection Robert Prewitt Sobel LoG Xilinx System Generator Spartan-3E FPGA

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A new image edge detection algorithm based on measuring of medium truth scale

A new image edge detection algorithm based on measuring of m...

引用

IEEE International Conference on Networking, Sensing and Control

作者： Zhou, Ning-ning Zhao, Zheng-xu Hong, Long Deng, Yu-long Nanjing Univ Posts & Telecommun Sch Comp Nanjing Peoples R China Southeast Univ Sch Instrument Sci & Engn Nanjing Peoples R China Univ Derby Sch Comp Derby England Southeast Univ Sch Instrument Sci & Engn Nanjing Peoples R China

ISBN: (纸本)9781424416851

image edge is a basic feature of images, and edge detection is a preprocessing technique in the field of image processing. This paper presents a novel image edge detection algorithm derived from the similarity degree of edge pixels based on the measuring of medium truth scale. For further edge refining, two thresholds and restraint on non-minimum value in domain are applied to the algorithm. Simulation results show that the algorithm can effectively eliminate noise, successfully preserve the image edge details, produce better edge detection result and is more effective and have wider applications compared with that of the classic algorithms.

关键词： image edge detection similarity degree measuring of medium truth scale edge refining

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Research on image matting technology based on image edge detection

Research on image matting technology based on image edge det...

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IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

作者： Zhang Rongxue Zhao Tingting Renna Wang Hongjiang Shenyang Inst Engn Shenyang 110136 Peoples R China

ISBN: (纸本)9781467329453

There are still many problems, especially the coordination between edge detection accuracy and anti-noise performance, although the traditional image edge detection method has been greatly developed. In this paper we propose a key technique based on image edge detection algorithm which adopts the Canny operator to accomplish the job of edge detection and foreground object extraction from the perspective of image processing, also has been compared with other detection methods. The experimental results show that this algorithm is able to raise the sensitivity of foreground object extraction evidently in comparison with some traditional image edge detection methods.

关键词： image key technology image edge detection Canny operator

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Aspects on image edge detection Based on Sensitive Swarm Intelligence 17th

Aspects on Image Edge Detection Based on Sensitive Swarm Int...

引用

17th International Conference on Hybrid Artificial Intelligent Systems (HAIS)

作者： Ticala, Cristina Pintea, Camelia-M. Crisan, Gloria Cerasela Matei, Oliviu Hajdu-Macelaru, Mara Pop, Petrica C. Tech Univ Cluj Napoca North Univ Ctr Baia Mare Baia Mare 430122 Romania Vasile Alecsandri Univ Fac Sci Bacau Romania

ISBN: (纸本)9783031154713;9783031154706

Nowadays, swarm intelligence shows a high accuracy while solving difficult problems, including image processing problem. image edge detection is a complex optimization problem due to the high-resolution images involving large matrix of pixels. The current work describes several sensitive to the environment models involving swarm intelligence. The agents' sensitivity is used in order to guide the swarm to obtain the best solution. Both theoretical general guidance and a practical example for a particular swarm are included. The quality of results is measured using several known measures.

关键词： Swarm intelligence image processing image edge detection

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An image edge detection Based on the Orientation Response Mechanisms of an Integrate-and-fire Neurons Model 9

An Image Edge Detection Based on the Orientation Response Me...

引用

9th International Conference on Digital image Processing (ICDIP)

作者： Ni, Hongxia Wu, Wei Hangzhou Dianzi Univ Coll Automat Hangzhou 310018 Zhejiang Peoples R China

ISBN: (纸本)9781510613058;9781510613041

Considering that traditional image edge detection methods can't reflect the orientation selection characteristics of a human visual perception system and the firing mechanism of neuron spikes, a new method of image edge detection based on orientation response mechanisms of an integrate-and-fire (IF) neurons model are presented in this paper. To fully reflect orientation selection characteristics of the human visual system, the Log-Gabor orientation response model is applied for image orientation preprocessing. The spikes sequence fired by IF neurons model is used for image edge detection. The results of various experiments show that our method can truly reflect the biological characteristics. By comparison with the traditional image edge detection methods, our method is focused on the fine details preservation, and can highlight image edge.

关键词： orientation resonance mechanism IF neuron image edge detection

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image edge detection based on rotating kernel transformation

Image edge detection based on rotating kernel transformation

引用

Congress on image and Signal Processing, CISP

作者： Shuai Wang Shuifa Sun Qing Guo Fangmin Dong Chunyan Zhou Institute of Intelligent Vision and Image Information China Three Gorges University Yichang China Collaborative Innovation Center for Geo-Hazards and Eco-Environment in Three Gorges Area Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering China Three Gorges University Yichang China Technology Communication department of Hangzhou Police Bureau Hangzhou China

ISBN: (纸本)9781479958368

An edge detection algorithm based on improved Rotating Kernel Transformation, IRKT edge detection method (IRKTE), is proposed in this paper. The algorithm adopt the line detection approach RKT, and defines a new model of edge detection according to the direction difference between edge and smooth regions. Simultaneously, an accurate edge location approach based on edge normal direction is presented to overcome the wide width caused by a large scale kernel in IRKT. Furthermore, the improvement of previous IRKT with weight edge detection (IRKTEW) is proposed to improve the ability to resist the noise effectively. A series of experiments are carried out through the picture libraries with ground truth and the performance is analyzed with ROC curves. The experimental results show that the proposed method can effectively detect the edge under the strong noises, and the performance of edge detection is improved with the proposed approach.

关键词： image edge detection Kernel Noise Standards Convolution Speckle Educational institutions

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image edge detection based on improved ant colony algorithm

Image edge detection based on improved ant colony algorithm

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Intelligent Control, Measurement and Signal Processing and Intelligent Oil Field (ICMSP), International Conference on

作者： Yuehao Yan Juan Hui Gaohui Kong Shuaishuai Wang Liyi Feng Yujie Zhao State Grid Henan Electric Power Company Xingyang Power Supply Company Xingyang China Zhengzhou Xinda Advanced Technology Research Institute Zhengzhou China

ISBN: (数字)9798331516550

ISBN: (纸本)9798331516567

image edge detection is a necessary work in object recognition, feature extraction and structure analysis. Firstly, an improved ant colony algorithm is proposed to solve the problems of partial path selection, low accuracy and low efficiency of traditional ant colony algorithm. The initial pheromone, heuristic function, pheromone update rule and state transition parameters of ant colony algorithm were improved. Finally, the experimental simulation verifies that two classical images are selected to carry out adaptive edge extraction, and the edge detection effect is compared with the traditional detection algorithm. Experimental results show that the improved algorithm can achieve complete and continuous image edge extraction, and verify the effectiveness of the algorithm.

关键词： Accuracy image edge detection Heuristic algorithms Noise Signal processing algorithms Clustering algorithms Feature extraction Object recognition detection algorithms Intelligent control

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