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检索条件"主题词=boundary detection algorithm"

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Fast detection of Curved Edges at Low SNR

Fast Detection of Curved Edges at Low SNR

引用

IEEE Conference on Computer Vision and Pattern Recognition

作者： Nati Ofir Meirav Galun Boaz Nadler Ronen Basri Weizmann Institute of Science

ISBN: (纸本)9781467388528

Detecting edges is a fundamental problem in computer vision with many applications, some involving very noisy images. While most edge detection methods are fast, they perform well only on relatively clean images. Unfortunately, sophisticated methods that are robust to high levels of noise are quite slow. In this paper we develop a novel multiscale method to detect curved edges in noisy images. Even though our algorithm searches for edges over an exponentially large set of candidate curves, its runtime is nearly linear in the total number of image pixels. As we demonstrate experimentally, our algorithm is orders of magnitude faster than previous methods designed to deal with high noise levels. At the same time it obtains comparable and often superior results to existing methods on a variety of challenging noisy images.

关键词： images Noise levels low SNR Noisy Image Noise curve edge computer vision Curved edges Edges boundary detection algorithm Fasting Runtime

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Edge detection Method of Gaussian Block Distance

Edge Detection Method of Gaussian Block Distance

引用

IEEE International Conference on Image Processing

作者： Di JIA Cheng-long XIAO Jin-guang SUN School of Electronic and Information Engineering Liaoing Technical University School of software Liaoing Technical University

ISBN: (纸本)9781479983407

Edge is one of the most important image features, and it is the base of follow-up measurement and shape registration. In order to get better edge information, an edge detection method of block distance is proposed in this paper. Firstly, by calculating distance between the pixels within sub-block regions, the graph of Gaussian weighted distance is obtained. Comparing with the original figure, it not only can better highlight the edge contour, but also can be uniformed background gray. Secondly, in order to reduce the complexity of the algorithm, edge detection method of block distance combining with summed area table is raised. Finally, implementation process of this algorithm is raised. Experimental results show that this method can achieve high speed of edge detection with higher accuracy in extracting edge and corner information of image.

关键词： Edge detection Euclidean distance Gaussian block distance Summed area table Distance map boundary detection algorithm Edge detection Euclidean distance image feature Edge of a figure or solid Gauss

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The furthest neighbor query of space K

The furthest neighbor query of space K

引用

International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR)

作者： Cheng Chang Run-Tao Liu Department of applied mathematics Harbin University of Science and Technology Institute of information and scientific computing technology Harbin University of Science and Technology

ISBN: (纸本)9781467372251

In the spatial database, the furthest neighbor query is a jumped-up method. If different distances and pruning strategies are properly selected, we can greatly reduce the node number in search space. Through using data cube and edge detection method, we catch up with the traverse pruning method that is based on FNC spatial index tree of incremental and query algorithms. The experimental result turns out that the algorithms have a good pruning effect, at the same time promoting the query efficiency of space k farthest neighbors.

关键词： database indexing edge detection query processing search problems trees (mathematics) visual databases FNC spatial index tree data cube edge detection method furthest neighbor query incremental algorithms jumped-up method node number pruning effect pruning strategies query algorithms query efficiency search space space k farthest neighbors spatial database traverse pruning method FNC-Tree Spatial databases Sub cube The furthest neighbor query visual databases boundary detection algorithm database indexing tabu search query analysis Edge detection data cubes Neighbor

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Efficient Morphological-based Edge detection algorithm for Computed Tomography Cardiac Images

Efficient Morphological-based Edge Detection Algorithm for C...

引用

IEEE International Conference on Signal and Image Processing Applications

作者： Thion Ming Chieng Zaid Omar Suhaini Kadiman IJN-UTM Cardiovascular Engineering Centre Universiti Teknologi Malaysia Johor Malaysia IJN-UTM Cardiovascular Engineering Centre National Heart Institute Kuala Lumpur Malaysia

ISBN: (纸本)9781479989973

Medical imaging has been extensively used for disease monitoring, treatment planning, diagnosis and computer aided surgery. Often, the acquired images are raw in nature, thus making them prone to being complex and noisy. A series of preprocessing and information extraction steps are therefore necessary in order for the relevant information to reach the medical practitioner. To this end, image denoising and edge detection play a vital role as a precursor to more advanced techniques in the medical image processing field. In this paper we have proposed an innovative mathematical morphology-based image denoising and edge detection method, for pre-processing of computed tomography (CT) images of the human heart. The morphological edge detection algorithm together with six different shaped structuring elements are implemented to preserve and detect the edges of the CT image while effectively suppressing noise, all at low computational cost. The experimental results affirm our approach's efficiency and capability in denoising and detecting salient edges from corrupted and complex medical images.

关键词： Medical imaging cardiac image Computed tomography Morphology denoising Edge detection Medical imaging Edge detection boundary detection algorithm Noise reduction X-Ray Computed Tomography image denoising images medical practitioner

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Cut Scene Change detection Using Spatio Temporal Video Frame

Cut Scene Change Detection Using Spatio Temporal Video Frame

引用

International Conference on Image Information Processing

作者： Rupesh Kumar Sumana Gupta K. S. Venkatesh Dept. of Electrical Engineering Indian Institute of Technology

ISBN: (纸本)9781509001491

In this paper, we addressed the problem of cut or abrupt scene change detection in video sequence. Video is defined as a sequence of XY frame with flow direction T. Proposed method considered spatio-temporal frames TY and TX for detection. In XY frame, large pixel intensity variation occurred at the location of cut scene change and such phenomena produced a boundary line in spatio-temporal frames. Proposed boundary appeared as a vertical line for each scene change. Each scene categorizes as an uniform region and their transition produces a boundary line. These boundary has been detected with the help of edge detection method in both TY and TX frames simultaneously, A two way detection in TY and TX frames confirms the accuracy of detection algorithm and eliminates the false detection.

关键词： Video frame boundary: spatio-temporal Scene Segmentation Shot Cut VIDEO FRAMES ON-SCENE Cutting Frame segmentation Segmentation FRAMES boundary detection algorithm shot vertical line detection algorithms

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IMPROVING SENSOR NOISE ANALYSIS FOR CT-SCANNER IDENTIFICATION

IMPROVING SENSOR NOISE ANALYSIS FOR CT-SCANNER IDENTIFICATIO...

引用

European Signal Processing Conference

作者： Anas Kharboutly William Puech Gerard Subsol Denis Hoa ICAR Research Team LIRMM University of Montpellier/CNRS IMAIOS MIBI

ISBN: (纸本)9781479988518

CT-Scanner devices produce three-dimensional images of the internal structure of the body. In this paper, we propose a method that is based on the analysis of sensor noise to identify the CT-Scanner device. For each CT-scanner we built a reference pattern noise and a correlation map from its slices. Finally, we can correlate any test slice with the reference pattern noise of each device according to its correlation map. This correlation map gives a weighting for each pixel regarding its position in the reference pattern noise. We used a wavelet-based Wiener filter and an edge detection method to extract the noise from a slice. Experiments were applied on three CT-Scanners with 40 3D images, including 3600 slices, and we demonstrate that we are able to identify each CT-Scanner separately.

关键词： Digital forensics Medical image forensics Authentication Device identification Noise pattern Sensor noise Denoise filtering Edge detection Wavelet transformation E-discovery wavelet transforms Edge detection modal noise Authentication boundary detection algorithm Noise Three-Dimensional Images slicing general structure Sensors Wiener filters

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Fast and Accurate Implementation of Canny Edge Detector on Embedded Many-core Platform 12

Fast and Accurate Implementation of Canny Edge Detector on E...

引用

12th IEEE International New Circuits and Systems Conference (IEEE NEWCAS)

作者： Ben Cheikh, Taieb Lamine Nicolescu, Gabriela Trajkovic, Jelena Bouchebaba, Youcef Paulin, Pierre Ecole Polytech Dept Comp Engn Montreal PQ Canada Concordia Univ Dept Elect & Comp Engn Montreal PQ H3G 1M8 Canada Synopsys Inc Ottawa ON Canada

ISBN: (纸本)9781479948857

Image processing and computer vision applications are used intensively in several domains in particular multimedia and medicine. The main challenge in developing such applications is how to guarantee both high accuracy and low execution time. Accordingly, we observe two research directions: the first focuses on improving the algorithms and the second focuses on designing fast hardware platforms. In this paper, we propose an efficient parallel implementation of an accurate extended Canny edge detection algorithm suitable for medical applications on embedded many-core platform. The proposed implementation is running at a frame rate of 10 frames/s for image size of 512x512 with high accurate and smooth line edges.

关键词： Accuracy Computer architecture Fabrics Graphics processing units Hardware Image edge detection Real-time systems Edge detection Computer Architecture real-time systems Canny edge detector Textile fabrics fabric Computer hardware Graphics Processing Unit boundary detection algorithm Fasting Frame Rate IMAGE SIZE

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Rapid Vehicle Edge detection Based on Cellular Neural Network 10

Rapid Vehicle Edge Detection Based on Cellular Neural Networ...

引用

10th International Conference on Natural Computation (ICNC)

作者： Hao, Deshui Ji, Luping Zhou, Long Univ Elect Sci & Technol China Sch Comp Sci & Engn Chengdu Peoples R China

ISBN: (纸本)9781479951512

This paper presents a rapid edge detection method for vehicle using the two-dimensional cellular neural network (CNN). In the method, two adaptive templates for edge detection are experimentally designed, and background noise elimination is also concerned. Finally, the performance of the proposed CNN detector is evaluated on different vehicle images, and it is also compared with some other edge detectors. Simulation experiment results shows that the CNN method could achieve good performance in vehicle edge detection.

关键词： Cellular neural networks Detectors Digital images Image edge detection Noise Particle swarm optimization Vehicles Edge detection Cellular neural networks vehicle Digital images Particle swarm optimization Noise boundary detection algorithm detector

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Efficient Bone Detector and Geometric Descriptor for X-ray Imaging

Efficient Bone Detector and Geometric Descriptor for X-ray I...

引用

IEEE Symposium Series on Computational Intelligence

作者： Jakub Romanowski Marcin Korytkowski Rafal Scherer Institute of Computational Intelligence Czestochowa University of Technology

ISBN: (纸本)9781479975617

detection of bone area in X-ray images and methods of comparing such images on the basis on their content is still an issue which can be substantially improved. In this paper we present a new method of efficient bone identification and its description by a collection of simple geometrical shapes. The idea of this kind of bones description was to developed a method that could reduce the amount of data to minimum. The solution enables fast comparison of X-ray images by checking small amount of data. This kind of geometric description of bone area is designed to create a robust bone descriptor which will be used as image pattern for image comparison method. The assumption is to create a descriptor of X-ray digital image content, mining them in large databases and search and compare X-ray images on the basis of their content. The achievement of the objectives was possible through the use of an edge detection method modified by the authors. Application of our method of edge detection gives much more satisfactory results and possibilities to further process medical images than commonly used methods of edge detection.

关键词： bone structure Edge detection images boundary detection algorithm Descriptors X-ray imaging X-rays

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Transparent text detection and background recovery

Transparent text detection and background recovery

引用

2nd IAPR Asian Conference on Pattern Recognition (ACPR)

作者： Liu, Xinhao Chiba, Naoki Tokyo Inst Technol Grad Sch Sci & Engn Tokyo 152 Japan Rakuten Inc Rakuten Inst Technol Tokyo Japan

ISBN: (纸本)9781479921904

We propose two methods for detecting transparent text in images and recovering the background behind the text. Although text detection in natural scenes is an active research area, most current methods are focused on non-transparent text. To detect transparent text, we developed an adaptive edge detection method for edge-based text detection that can accurately detect text even under low contrast, which is common among transparent text images and a method for recovering the original background content behind the detected transparent text. Experiments using real images show the effectiveness of the proposed methods.

关键词： texts Hyalin natural scenes boundary detection algorithm images

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