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IEEE International Ultrasonics Symposium

作者： Daniel Barbosa Gabriel Kiss Piet Claus Krasimira Hristova Brage Amundsen Dirk Loeckx Frederik Orderud Hans Torp Jan D'hooge Department of Cardiovascular Diseases Lab on Cardiovascular Imaging & Dynamics Katholieke Universiteit Leuven Department of Circulation and Medical Imaging Medical Imaging Lab NTNU Department of Electrical Engineering (ESAT) Medical Image Computing Katholieke Universiteit Leuven

ISBN: (纸本)9781424443895;9781424443901

In recent years, volumetric (3D) cardiac ultrasound imaging has become more readily available in daily clinical practice due to the introduction of matrix array transducer technology. To date, quantitative analysis of these data sets typically requires a significant amount of user interaction. Recently, our teams introduced methods that could help in automating this process. On the one hand, an edge detection algorithm in combination with a deformable subdivision surface was presented for automatic segmentation of the LV cavity. A real-time, dynamic implementation of this segmentation approach in combination with a Kalman filter allows tracking the subendocardial boundary throughout the cardiac cycle. This method is referred to as RCTL. On the other hand, an automatic 3D motion estimation algorithm was presented in which subsequent image volumes are elastically registered using a B-spline transformation field. This method is called splineMIRIT. Both methods were applied to clinical data to extract relevant functional parameters on global left ventricular (LV) function (i.e. stroke volume (SV) and ejection fraction (EF)). Both methods show a good correlation with the reference method and might thus be used for fully automated estimation of global LV function. Given that RCTL is a fully integrated method (accounting for both segmentation and tracking) it seems to be the better approach towards extracting these parameters. However, whether this remains true when assessing parameters for regional LV function remains to be investigated.

关键词： heart left ventricle function user-computer interaction REFERENCE METHODS boundary detection algorithm segmentation AUTOMATIC Kalman filters Segmentation Automation

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Numerical Simulations of Edge detection Effect Due to Chemical Shift Variation in Intermolecular Multiple-Quantum Coherence MRI

Numerical Simulations of Edge Detection Effect Due to Chemic...

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IEEE International Symposium on IT in Medicine and Education

作者： Sun, Huijun Lin, Tao Chen, Song Chen, Zhong Xiamen Univ Dept Phys Fujian Engn Res Ctr Solid State Lighting Xiamen 361005 Peoples R China Jimei Univ Sch Sci Res Ctr Complex Syst Xiamen 361021 Peoples R China

ISBN: (纸本)9781424425105

Combined with the theories of intermolecular multiple-quantum coherences (iMQCs) and distant dipolar field (DDF) effect, edge detection effect due to chemical shift variation in magnetic resonance imaging (MRI) was simulated and discussed deeply using an efficient numerical algorithm based on the nonlinear Bloch equations. Simulation results show that, different from the conventional MRI signal, chemical shift in iMQC MRI can provide new imaging information, an edge detection method to search regions containing spins with chemical shift offset. The edge detection method can present plentiful information about various kinds of edges of object regions.

关键词： boundary detection algorithm chemical shift Edge detection numerical simulation

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Digital Image Watermarking using Edge detection and Wavelets with Robustness Analysis against JPEG Compression Attacks

Digital Image Watermarking using Edge Detection and Wavelets...

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International Conference on Innovations in Information Technology

作者： Senthil, V. Bhaskaran, R. Thiagarajar Sch Management Dept MCA Madurai Tamil Nadu India Madurai Kamaraj Univ Sch Math Madurai Tamil Nadu India

ISBN: (纸本)9781424433964

In this paper we analyze the robustness of watermarking method in still images using Haar, Daubecheies and Biorthogonal wavelets. The embedding process uses a canny edge detection method and hides the watermark with the perceptual considerations on different modalities of images. The extraction scheme uses non-blind method to retrieve the watermark. We simulate the JPEG Compression attack with different quality standards to check the robustness and prove the authenticity of the digital content.

关键词： Edge detection wavelets JPEG Watermarking Quality standards Still images boundary detection algorithm biorthogonal wavelet Robustness digital image watermarking Digital content

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Edge detection based on mathematical morphology and iterative thresholding

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International Conference on Computational-Intelligence and Security

作者： Bai, Xiangzhi Zhou, Fugen Beihang Univ Image Proc Ctr Beijing 100083 Peoples R China

ISBN: (纸本)9783540743767

Edge detection is a crucial and basic tool in image segmentation. The key of edge detection in gray image is to detect more edge details, reduce the noise impact to the largest degree, and threshold the edge image automatically. According to this, a novel edge detection method based on mathematic morphology and iterative thresholding is proposed in this paper. A modified morphological transform through regrouping the priorities of several morphological transforms based on contour structuring elements is realized first, and then an edge detector is defined by using the multi-scale operation of the modified morphological transform to detect the gray-scale edge map. Finally, a new iterative thresholding algorithm is applied to obtain the binary edge image. Comparative study with other morphological methods reveals its Superiority over de-noising capacity, edge details protection and un-sensitivity to the shape of the structuring elements.

关键词： Edge detection edge image boundary detection algorithm mathematical morphology structuring element grayscale images Iterative Transform image segmentation

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A simple and efficient multiscale edge detection method based on image diffusion

A simple and efficient multiscale edge detection method base...

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Workshop on Intelligent Information Technology Application (IITA 2007)

作者： Zhang Yingjie Ge Liling Xi An Jiao Tong Univ Sch Mech Engn Xian 710049 Shaanxi Peoples R China Xian Univ Technol Sch Mat Engn Xian 710048 Peoples R China

ISBN: (纸本)9780769530635

In this paper, a fast multi-scale edge detection approach is proposed based on the theories of image diffusion and curve evolution. In comparison with the previous edge detection approaches, edge detection is performed in two steps: beginning by detecting the initial contours at a courser scale that is performed by using a linear diffusion coupling with the denoising effect and gray transformation, then the obtained contour curves are mapped and further refined up to finer scales using the fast Hermes algorithm. By this way, (he experimental results show that the proposed edge detection approach are more promising than the existing methods for object detection on general images, especially on medical images.

关键词： edge detection image colour analysis curve evolution fast Hermes algorithm gray transformation image diffusion initial contour detection linear diffusion coupling multiscale edge detection Edge detection image colour analysis boundary detection algorithm

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Surface contouring by optical edge projection based on a continuous wavelet transform

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APPLIED OPTICS 2006年第20期45卷 4815-4820页

作者： Quan, Chenggen Miao, Hong Fu, Yu Natl Univ Singapore Dept Mech Engn Singapore 119260 Singapore Univ Sci & Technol China Dept Modern Mech Chinese Acad Sci Key Lab Mech Behav & Design Mat Hefei 230027 Anhui Peoples R China

A novel optical edge projection method for surface contouring of an object with low reflectivity is presented. A structured light edge is projected onto a dark surface, and the image is captured by a CCD camera. The surface profile of the object is then evaluated by an active triangular projection technique, and a whole-field three-dimensional contour of the object is obtained by scanning the optical edge over the entire object surface. An edge detection method based on a continuous wavelet transform (CWT) is employed to determine the location of the optical edge. The method of optical edge detection is described, and characteristic details of gray-level distribution along the edge are analyzed. It is shown that the proposed wavelet edge detection method is not dependent on any threshold values;hence the true edge position can be determined without subjective selection. A black low-reflectivity object surface made from woven carbon fiber is measured, and the experimental results show that the profile of a woven carbon fiber can be obtained by the proposed method. (C) 2006 Optical Society of America.

关键词： Edge of a figure or solid boundary detection algorithm Continuous wavelet transforms edge projection optical carbon fiber

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A single threshold edge detection algorithm based on multiscale fusion

A single threshold edge detection algorithm based on multisc...

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International Conference on Computational-Intelligence and Security

作者： Wan Yue-Liang Cao Yuan-Da Li Dun Beijing Inst Technol Sch Comp Sci & Engn Beijing 100081 Peoples R China

ISBN: (纸本)9781424406043

Edge detection based on multiscale wavelet transform is one of the important algorithms in images edge detection. In large scale it is strongly anti-noise, and in small scale it can accurately locate edge. In order to exploit both advantages, a new single threshold edge detection method based on edgefusion is developed using finite element Method (FEM) multiscale wavelet transform. Firstly, edge effective envelope is developed, in the range of effective edge envelop, using FEM track algorithms for edge fusion and detection to local edge point according to FEM cell topology. Secondly, A single threshold is used for accurate locate edge of detection. The validly of the algorithm is proved by experiments on both synthetic and natural image.

关键词： boundary detection algorithm Edge detection edge pixel Edge of a figure or solid edges wavelet transforms Finite element method model cars algorithms Fusion reactions Fusion, biological FUSION fusion (melting) SYNTHETICS antinoise

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ROBUST SCENE CUT detection BY SUPERVISED LEARNING

ROBUST SCENE CUT DETECTION BY SUPERVISED LEARNING

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European Signal Processing Conference

作者： G. Camara Chavez M. Cord S. Philipp-Foliguet F. Precioso Arnaldo de A. Araujo University of Pisa

The first step for video-content analysis, content-based video browsing and retrieval is the partitioning of a video sequence into shots. A shot is the fundamental unit of a video, it captures a continuous action from a single camera and represents a spatio-temporally coherent sequence of frames. Thus, shots are considered as the primitives for higher level content analysis, indexing and classification. Although many video shot boundary detection algorithms have been proposed in the literature, in most approaches, several parameters and thresholds have to be set in order to achieve good results. In this paper, we present a robust learning detector of sharp cuts without any threshold to set nor any pre-processing step to compensate motion or post-processing filtering to eliminate false detected transitions. The experiments, following strictly the TRECVID 2002 competition protocol, provide very good results dealing with a large amount of features thanks to our kernel-based SVM classifier method.

关键词： Video sequences Semi-supervised Learning Videotapes Learning continuous action fundamental units shot First Step boundary detection algorithm retrieval

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Elevation direction deconvolution in three-dimensional ultrasound imaging

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IEEE TRANSACTIONS ON MEDICAL IMAGING 1996年第3期15卷 389-394页

作者： Wang, XY Ritchie, CJ Kim, Y UNIV WASHINGTON CTR BIOENGN SEATTLE WA 98195 USA UNIV WASHINGTON DEPT ELECT ENGN SEATTLE WA 98195 USA

One-dimensional (1-D) linear transducer arrays can be used for three-dimensional (3-D) ultrasound image acquisition. However, the relatively low spatial resolution of these arrays in the elevation direction results in blurry 3-D images. In this paper, we introduce an elevation direction deconvolution (EDD) method that increases the spatial resolution of 3-D ultrasound images in the elevation direction, EDD is based on a deconvolution technique called power spectrum equalization. To evaluate our method, Cartesian volumes were reconstructed with and without EDD from a series of two-dimensional (2-D) images of phantoms. Using these reconstructed volumes, we first evaluated the effect of EDD on elevation resolution by computing the full-width-at-quarter-maximum (FWQM) of peaks along lines of constant depth, We then evaluated the effect of EDD on the accuracy of volume calculation by computing the phantom's volumes, EDD decreased the FWQM of the peaks on elevation lines by an average of 17%;however, EDD did not significantly alter the accuracy of volume calculation. We conclude that EDD can increase the spatial resolution in the elevation direction in 3-D ultrasound images and that EDD may improve the accuracy of volume calculation if a more consistent edge detection method is used.

关键词： UBR5 gene Spatial resolution peaks boundary detection algorithm Ultrasonography deconvolution

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A CCD/CMOS focal-plane array edge detection processor implementing the multiscale veto algorithm

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IEEE JOURNAL OF SOLID-STATE CIRCUITS 1996年第9期31卷 1239-1247页

作者： McIlrath, LD MIT ARTIFICIAL INTELLIGENCE LABCAMBRIDGEMA 02139

A prototype 32 x 32 array processor fabricated in 2-mu m charge coupled devices (CCD)/CMOS technology implementing the multiscale veto edge detection algorithm is presented, In this algorithm, differences between pixel values are computed in the original image, as well as after applying a series of smoothing filters of varying spatial scales, An edge exists between two pixels only if the magnitude of their difference is greater than a given threshold for all levels of smoothing tested, This algorithm maps particularly well to implementation as a focal plane processor as it requires only nearest neighbor communication, The CCD array performs the functions of image acquisition, charge loading and removal, and image smoothing, Analog circuits between each pair of pixels in the array compute the absolute value of difference between neighboring values and compare it to a global threshold, These circuits have been designed to allow reliable discrimination of differences from similar to 3.1% to similar to 10.1% of full scale range and thus meet the performance requirements of many machine vision applications.

关键词： Absolute value Edge detection pixel analog circuits global thresholding smoothing filter ARRAY PROCESSORS PROCESSOR boundary detection algorithm CCD array Nearest neighbor algorithms robot vision smoothing original image

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