2010 2nd International Conference on Image Processing Theory, Tools and Applications最新文献_第9页

Comparison of optimization techniques for regularized statistical reconstruction in X-ray tomography x射线断层扫描中正则化统计重建优化技术的比较

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586755

B. Hamelin, Y. Goussard, J. Dussault

{"title":"Comparison of optimization techniques for regularized statistical reconstruction in X-ray tomography","authors":"B. Hamelin, Y. Goussard, J. Dussault","doi":"10.1109/IPTA.2010.5586755","DOIUrl":"https://doi.org/10.1109/IPTA.2010.5586755","url":null,"abstract":"Numerical efficiency and convergence are matters of importance for regularized statistical reconstruction in X-ray tomography. We propose a performance comparison of four numerical methods that fall into two categories: first, variants of the SPS framework, a modern take on expectation-maximization-type algorithms, that benefit from acceleration through ordered subset strategies and were developed specifically for tomographic reconstruction; second, Hessian-free general-purpose nonlinear solvers with bound constraints, used to minimize directly the regularized objective function. The comparison is established on a common target for the noise-to-resolution trade-off of the reconstructed images. The experiments show that while the ordered-subsets separable paraboloidal surrogate iteration variant is the fastest to reach the target, its nonconvergent nature precludes the use of a rigorous stopping rule. Conversely, the other three methods are convergent and can be stopped using a common criterion related to the noise-to-resolution target. Among convergent techniques, general purpose solvers achieve the highest efficiency.","PeriodicalId":236574,"journal":{"name":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129315009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Laplacian pyramid decomposition-type method for resolution enhancement of ultrasound images 拉普拉斯金字塔分解型超声图像分辨率增强方法

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586793

Marie Ploquin, J. Girault, D. Kouamé

{"title":"Laplacian pyramid decomposition-type method for resolution enhancement of ultrasound images","authors":"Marie Ploquin, J. Girault, D. Kouamé","doi":"10.1109/IPTA.2010.5586793","DOIUrl":"https://doi.org/10.1109/IPTA.2010.5586793","url":null,"abstract":"In biomedical ultrasound imaging, there is a great need of high-resolved images for diagnosis or therapeutic purpose. This paper presents a resolution enhancement algorithm based both on Laplacian pyramid decomposition and on autoregressive (AR) model prediction. The idea is to use the Laplacian pyramid decomposition to estimate the high frequency (HF) image. Classically, after a bicubic-spline interpolation and a correction by an empirical control function, this HF image prediction is added to the bicubic-spline interpolated low frequency (LF) image. The resulting image is improved but the bicubic-spline interpolations tend to smooth the speckle. As a consequence, an empirical correction function based on the original image histogram has to be added to the HF image prediction. To face these issues, we propose an alternative to the bicubic-spline interpolation using an AR model instead. The resulting image is enhanced, and the empirical control function is not needed any more. Both methods are compared on synthetic images with different noise levels and distances to resolve. The resolution improvement was quantified in each case using a resolution criterion and the PSNR through the Monte-Carlo method. Then, the two methods are applied on an in vivo 20 MHz ultrasound image and the effectiveness of the proposed algorithm is shown.","PeriodicalId":236574,"journal":{"name":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","volume":"526 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122708036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Audio-video surveillance system for public transportation 公共交通视听监控系统

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586783

Q. Pham, A. Lapeyronnie, C. Baudry, L. Lucat, P. Sayd, S. Ambellouis, D. Sodoyer, A. Flancquart, A.-C. Barcelo, F. Heer, F. Ganansia, V. Delcourt

引用次数: 18

A fast Geodesic Active Contour model for medical images segmentation using prior analysis 基于先验分析的医学图像分割快速测地主动轮廓模型

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586749

S. Sharif, Mohamed Deriche, N. Maalej

引用次数: 0

Temporal error concealment algorithm for H.264/AVC using omnidirectional motion similarity 基于全向运动相似度的H.264/AVC时间误差隐藏算法

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586725

Changki Min, S. Jin, Hyeongchul Oh, Sang-Jun Park, Jechang Jeong

引用次数: 1

A visual attention focusing system using an active stereoscopic vision sensor 一种使用主动立体视觉传感器的视觉注意力聚焦系统

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586790

Yann Ducrocq, Shahram Bahrami, L. Duvieubourg, F. Cabestaing

{"title":"A visual attention focusing system using an active stereoscopic vision sensor","authors":"Yann Ducrocq, Shahram Bahrami, L. Duvieubourg, F. Cabestaing","doi":"10.1109/IPTA.2010.5586790","DOIUrl":"https://doi.org/10.1109/IPTA.2010.5586790","url":null,"abstract":"Humans have the capacity to move their eyes. Thanks to this capacity, they can orient their gaze to look at a relevant object inside a complex scene. In this paper, we have implemented a driver assistance application which tries to mimic this human capacity. We focus specially on highway driving situations, where the detection of obstacles must be done far away in front of the car. The implementation of the gaze control and orientation is obtained by an active vision system. We know that the human gaze is related to the visual attention which is a result of human perception and cognitive phenomenon. Several studies have shown that human perception and more specially the visual perception can be decomposed into a bottom-up process and a top-down process. Most of researches focused on the bottom-up process. In this work, in order to mimic the human behavior or at least improve vision systems, we use a new active stereovision setup and a model of the human visual perception based on the two previous approaches. Moreover, in a bottom-up approach, we add the depth information obtained with the stereoscopic sensor to the classical features used by other works. The top-down process is computed by the global knowledge of the scene and its features. Some results obtained by mean of a virtual road sequence, show the orientation of the field of view of the stereoscopic sensor toward relevant objects, given our criteria.","PeriodicalId":236574,"journal":{"name":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132745191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Texture classification for multi-spectral images using spatial and spectral Gray Level Differences 基于空间和光谱灰度差的多光谱图像纹理分类

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586795

R. Khelifi, M. Adel, S. Bourennane

引用次数: 15

Measurement of laboratory fire spread experiments by stereovision 立体视觉测量实验室火灾蔓延实验

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586797

L. Rossi, T. Molinier, M. Akhloufi, Y. Tison

引用次数: 1

Points of interest detection in cervical spine radiographs by polygonal approximation 基于多边形逼近的颈椎x线片兴趣点检测

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586771

Fabian Lecron, M. Benjelloun, S. Mahmoudi

{"title":"Points of interest detection in cervical spine radiographs by polygonal approximation","authors":"Fabian Lecron, M. Benjelloun, S. Mahmoudi","doi":"10.1109/IPTA.2010.5586771","DOIUrl":"https://doi.org/10.1109/IPTA.2010.5586771","url":null,"abstract":"In this paper, we introduce a robust approach to detect points of interest in cervical spine radiographs. The perspective of this work is to segment the vertebrae on X-Ray images for the analysis of the vertebral mobility. In previous work, we proposed a segmentation technique based on Active Shape Model. The extraction and the detection of the vertebra corners can contribute to the automatic initialization of the Active Shape Model search and can give valuable information about the spine curvature. Here, we present the benefits of the polygonal approximation dedicated to the points of interest detection. The methodology developed here is composed of 3 stages: a contrast limited adaptive histogram equalization, a Canny edge detection filter and an edge polygonal approximation. The first histogram equalization step is a pretraitment needed to improve the image quality in order to perform a better contour detection. The Canny operator detects the edges in the radiograph which are used as an input to the polygonal approximation. The edges become segment lines whose intersections define corners. We compare the results obtained with our approach based on the polygonal approximation to results coming from the Harris corner detector.","PeriodicalId":236574,"journal":{"name":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124013386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

Distributed Video Coding: Status, challenges and outlook 分布式视频编码:现状、挑战与展望

2010 2nd International Conference on Image Processing Theory, Tools and Applications Pub Date : 2010-07-07 DOI: 10.1109/IPTA.2010.5586828

F. Dufaux

引用次数: 0