2009 Digital Image Computing: Techniques and Applications最新文献_第2页

Automatic Detection of Defective Zebrafish Embryos via Shape Analysis 斑马鱼胚胎缺陷的形状分析自动检测

2009 Digital Image Computing: Techniques and Applications Pub Date : 2009-12-01 DOI: 10.1109/DICTA.2009.76

Haifeng Zhao, J. Zhou, A. Robles-Kelly, Jianfeng Lu, Jing-yu Yang

{"title":"Automatic Detection of Defective Zebrafish Embryos via Shape Analysis","authors":"Haifeng Zhao, J. Zhou, A. Robles-Kelly, Jianfeng Lu, Jing-yu Yang","doi":"10.1109/DICTA.2009.76","DOIUrl":"https://doi.org/10.1109/DICTA.2009.76","url":null,"abstract":"In this paper, we present a graph-based approach to automatically detect defective zebrafish embryos. Here, the zebrafish is segmented from the background using a texture descriptor and morphological operations. In this way, we can represent the embryo shape as a graph, for which we propose a vectorisation method to recover clique histogram vectors for classification. The clique histogram represents the distribution of one vertex with respect to its adjacent vertices. This treatment permits the use of a codebook approach to represent the graph in terms of a set of codewords that can be used for purposes of support vector machine classification. The experimental results show that the method is not only effective but also robust to occlusions and shape variations. represent the embryo shape as a graph, for which we propose a vectorisation method to recover clique histogram vectors for classification. The clique histogram represents the distribution of one vertex with respect to its adjacent vertices. This treatment permits the use of a codebook approach to represent the graph in terms of a set of codewords that can be used for purposes of support vector machine classification. The experimental results show that the method is not only effective but also robust to occlusions and shape variations.","PeriodicalId":277395,"journal":{"name":"2009 Digital Image Computing: Techniques and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129957491","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

Measuring Latency for Video Surveillance Systems 视频监控系统的延迟测量

2009 Digital Image Computing: Techniques and Applications Pub Date : 2009-12-01 DOI: 10.1109/DICTA.2009.23

R. Hill, Christopher S. Madden, A. Hengel, Henry Detmold, A. Dick

引用次数: 35

3D Reconstruction of Patient Specific Bone Models from 2D Radiographs for Image Guided Orthopedic Surgery 图像引导骨科手术中2D x线片患者特异性骨模型的3D重建

2009 Digital Image Computing: Techniques and Applications Pub Date : 2009-12-01 DOI: 10.1109/DICTA.2009.42

P. Gamage, S. Xie, P. Delmas, P. Xu

{"title":"3D Reconstruction of Patient Specific Bone Models from 2D Radiographs for Image Guided Orthopedic Surgery","authors":"P. Gamage, S. Xie, P. Delmas, P. Xu","doi":"10.1109/DICTA.2009.42","DOIUrl":"https://doi.org/10.1109/DICTA.2009.42","url":null,"abstract":"Three dimensional (3D) visualization of anatomy plays an important role in image guided orthopedic surgery and ultimately motivates minimally invasive procedures. However, direct 3D imaging modalities such as Computed Tomography (CT) are restricted to a minority of complex orthopedic procedures. Thus the diagnostics and planning of many interventions still rely on two dimensional (2D) radiographic images, where the surgeon has to mentally visualize the anatomy of interest. The purpose of this paper is to apply and validate a bi-planar 3D reconstruction methodology driven by prominent bony anatomy edges and contours identified on orthogonal radiographs. The results obtained through the proposed methodology are benchmarked against 3D CT scan data to assess the accuracy of reconstruction. The human femur has been used as the anatomy of interest throughout the paper. The novelty of this methodology is that it not only involves the outer contours of the bony anatomy in the reconstruction but also several key interior edges identifiable on radiographic images. Hence, this framework is not simply limited to long bones, but is generally applicable to a multitude of other bony anatomies as illustrated in the results section.","PeriodicalId":277395,"journal":{"name":"2009 Digital Image Computing: Techniques and Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114506456","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: 17

Dense Correspondence Extraction in Difficult Uncalibrated Scenarios 在困难的非校准场景密集对应提取

2009 Digital Image Computing: Techniques and Applications Pub Date : 2009-12-01 DOI: 10.1109/DICTA.2009.19

R. Lakemond, C. Fookes, S. Sridharan

引用次数: 7

Handling Significant Scale Difference for Object Retrieval in a Supermarket 超市对象检索的显著尺度差异处理

2009 Digital Image Computing: Techniques and Applications Pub Date : 2009-12-01 DOI: 10.1109/DICTA.2009.79

Yuhang Zhang, Lei Wang, R. Hartley, Hongdong Li

引用次数: 10

Modeling Image Context Using Object Centered Grid 使用对象中心网格建模图像上下文

2009 Digital Image Computing: Techniques and Applications Pub Date : 2009-12-01 DOI: 10.1109/DICTA.2009.80

S. N. Parizi, I. Laptev, Alireza Tavakoli Targhi

引用次数: 7

Learning the Optimal Transformation of Salient Features for Image Classification 学习图像分类中显著特征的最优变换

2009 Digital Image Computing: Techniques and Applications Pub Date : 2009-12-01 DOI: 10.1109/DICTA.2009.28

J. Zhou, Zhouyu Fu, A. Robles-Kelly

引用次数: 0

Investigations into the Robustness of Audio-Visual Gender Classification to Background Noise and Illumination Effects 视听性别分类对背景噪声和光照影响的鲁棒性研究

2009 Digital Image Computing: Techniques and Applications Pub Date : 2009-12-01 DOI: 10.1109/DICTA.2009.34

D. Stewart, Hongbin Wang, Jiali Shen, P. Miller

引用次数: 3

Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking 改进的运动检测和光流同步计算的目标跟踪

2009 Digital Image Computing: Techniques and Applications Pub Date : 2009-12-01 DOI: 10.1109/DICTA.2009.35

S. Denman, C. Fookes, S. Sridharan

{"title":"Improved Simultaneous Computation of Motion Detection and Optical Flow for Object Tracking","authors":"S. Denman, C. Fookes, S. Sridharan","doi":"10.1109/DICTA.2009.35","DOIUrl":"https://doi.org/10.1109/DICTA.2009.35","url":null,"abstract":"Object tracking systems require accurate segmentation of the objects from the background for effective tracking. Motion segmentation or optical flow can be used to segment incoming images. Whilst optical flow allows multiple moving targets to be separated based on their individual velocities, optical flow techniques are prone to errors caused by changing lighting and occlusions, both common in a surveillance environment. Motion segmentation techniques are more robust to fluctuating lighting and occlusions, but don't provide information on the direction of the motion. In this paper we propose a combined motion segmentation/optical flow algorithm for use in object tracking. The proposed algorithm uses the motion segmentation results to inform the optical flow calculations and ensure that optical flow is only calculated in regions of motion, and improve the performance of the optical flow around the edge of moving objects. Optical flow is calculated at pixel resolution and tracking of flow vectors is employed to improve performance and detect discontinuities, which can indicate the location of overlaps between objects. The algorithm is evaluated by attempting to extract a moving target within the flow images, given expected horizontal and vertical movement (i.e. the algorithms intended use for object tracking). Results show that the proposed algorithm outperforms other widely used optical flow techniques for this surveillance application.","PeriodicalId":277395,"journal":{"name":"2009 Digital Image Computing: Techniques and Applications","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128392319","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: 69

Straight-Edge Extraction in Distorted Images Using Gradient Correction 基于梯度校正的畸变图像的直边提取

2009 Digital Image Computing: Techniques and Applications Pub Date : 2009-12-01 DOI: 10.1109/DICTA.2009.86

M. Islam, L. Kitchen

{"title":"Straight-Edge Extraction in Distorted Images Using Gradient Correction","authors":"M. Islam, L. Kitchen","doi":"10.1109/DICTA.2009.86","DOIUrl":"https://doi.org/10.1109/DICTA.2009.86","url":null,"abstract":"Many camera lenses, particularly low-cost or wide-angle lenses, can cause significant image distortion. This means that features extracted naively from such images will be incorrect. A traditional approach to dealing with this problem is to digitally rectify the image to correct the distortion, and then to apply computer vision processing to the corrected image. However, this is relatively expensive computationally, and can introduce additional interpolation errors. We propose instead to apply processing directly to the distorted image from the camera, modifying whatever algorithm is used to correct for the distortion during processing, without a separate rectification pass. In this paper we demonstrate the effectiveness of this approach using the particular classic problem of gradient-based extraction of straight edges. We propose a modification of the Burns line extractor that works on a distorted image by correcting the gradients on the fly using the chain rule, and correcting the pixel positions during the line-fitting stage. Experimental results on both real and synthetic images under varying distortion and noise show that our gradient-correction technique can obtain approximately a 50% reduction in computation time for straight-edge extraction, with a modest improvement in accuracy under most conditions.","PeriodicalId":277395,"journal":{"name":"2009 Digital Image Computing: Techniques and Applications","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116364324","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: 5