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检索条件"主题词=Image Edge Detection"

共 27763 条记录，以下是41-50 订阅

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Macrozooplankton image edge detection Using Wavelet Packet Decomposition

Macrozooplankton Image Edge Detection Using Wavelet Packet D...

引用

International Conference on Advanced Measurement and Test (AMT 2010)

作者： Zhao, Jingying Guo, Hai Sun, Xingbin Dalian Nationalities Univ Dept Comp Sci & Engn Dalian 116600 Peoples R China Harbin Inst Technol Sch Municipal Environm Engn Harbin 1500090 Peoples R China

ISBN: (纸本)9780878492695

Comparing with the phytoplankton, there are few researches on zooplanktons. Now, many waterworks don't monitor the zooplanktons in source water. There isn't effective detection method for several common macro zooplanktons such as chironomid larvae, cyclops and so on, and little has been done in the field of the macro zooplanktons automatic identification and monitor. This paper puts for forward a macrozooplankton edge detection method based on wavelet packet decomposition and reconstruction. We erase the high frequency parts by applying wavelet packet decomposition in the original images and then detect the edge of reconstruction images using the common edge detectors such as Prewitt, Sobel, Roberts, Laplacian of Gaussion, Canny and so on. The experimental results show that the edge detection methods in the reconstruction image work better than in the original image.

关键词： image edge detection macro zooplankton image identification wavelet packet decomposition wavelet packet reconstruction

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BUILDING BOUNDARIES EXTRACTION FROM POINTS CLOUD USING AN image edge detection METHOD 36

BUILDING BOUNDARIES EXTRACTION FROM POINTS CLOUD USING AN IM...

引用

36th IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Xi, Xiaohuan Wan, Yiping Wang, Cheng Chinese Acad Sci Inst Remote Sensing & Digital Earth Beijing 100094 Peoples R China Chinese Acad Sci Key Lab Digital Earth Beijing 100094 Peoples R China

ISBN: (纸本)9781509033324

Building digitalization is an important component of digital city development. Terrestrial laser scanning (TLS) technology provides a high-precision and high-density data source to guarantee building digitalization and reconstruction. However, when these large scattered points cloud are used to build a 3D digital model, the points of building boundaries extraction is an essential issue. In this paper, the edge detection method for 2D images is extended to the 3D points cloud to achieve rapid, complete and accurate boundaries points for building. Firstly, based on the coplanar conditions, the points cloud data of a building are divided into different patches and then converted into 2D images according to the depth dimension of each patch. Secondly, the points of each plane are then extracted by an improved Laplace image edge detection method. Finally, the boundary points extracted by the method proposed are validated using tested data. It shows that the proposed method is effective and robust: the extraction accuracy for the building boundary points is up to 85%, notably for cases with more complicate features.

关键词： LiDAR Points cloud Building boundary image edge detection 3D reconstruction

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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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