2009 13th International Machine Vision and Image Processing Conference最新文献_第2页

Indistinct Frame Detection in Colonoscopy Videos 结肠镜检查视频中的模糊帧检测

2009 13th International Machine Vision and Image Processing Conference Pub Date : 2009-09-02 DOI: 10.1109/IMVIP.2009.16

Mirko Arnold, Anarta Ghosh, G. Lacey, S. Patchett, H. Mulcahy

{"title":"Indistinct Frame Detection in Colonoscopy Videos","authors":"Mirko Arnold, Anarta Ghosh, G. Lacey, S. Patchett, H. Mulcahy","doi":"10.1109/IMVIP.2009.16","DOIUrl":"https://doi.org/10.1109/IMVIP.2009.16","url":null,"abstract":"An automated system for analysis of colonoscopy videos is expected to complement the expertise and the experience of a medical professional in: (a) detecting lesions and (b) assessing the quality of a given procedure. Colonoscopy videos contain a significant number of frames which do not carry any clinical information. The presence of such frames would slow down or cause the failure of the processing steps of such an automated system. Furthermore, many existing metrics to measure the quality of the colonoscopy procedures directly involve the number of such indistinct frames present in the videos. We propose a novel algorithm to detect indistinct frames based on the wavelet analysis. The L2 norm of the detail coefficients of the wavelet decomposition of a colonoscopy image is considered as the feature vector of the proposed classification system. The algorithm was tested on a manually labeled, balanced data set. It achieved an accuracy of 99.59% in a leave-two-out cross validation procedure based on Bayesian classification. Furthermore, when applied to full colonoscopy videos, the presented algorithm detected 26.2% of the frames as indistinct, of which 92.3% were correctly classified. The proposed method outperforms the current best performing algorithm both in terms of accuracy and computation time.","PeriodicalId":179564,"journal":{"name":"2009 13th International Machine Vision and Image Processing Conference","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134432303","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: 26

Poisson Kalman Particle Filtering for Tracking Centrosomes in Low-Light 3-D Confocal Image Sequences 弱光三维共聚焦图像序列中中心体跟踪的泊松卡尔曼粒子滤波

2009 13th International Machine Vision and Image Processing Conference Pub Date : 2009-09-02 DOI: 10.1109/IMVIP.2009.22

Hugh Gribben, P. Miller, Jianguo Zhang, M. Browne

引用次数: 1

Constrained Region-Based Segmentation of Pleural Effusion in Thin-Slice CT 薄层CT胸膜积液约束区域分割研究

2009 13th International Machine Vision and Image Processing Conference Pub Date : 2009-09-02 DOI: 10.1109/IMVIP.2009.12

R. Donohue, A. Shearer, J. Bruzzi

引用次数: 7

Fast Edge Map Pyramids for Hexagonal Image Structures 六边形图像结构的快速边缘地图金字塔

2009 13th International Machine Vision and Image Processing Conference Pub Date : 2009-09-02 DOI: 10.1109/IMVIP.2009.15

B. Gardiner, S. Coleman, B. Scotney

引用次数: 0

Image Hatching for Visual Cryptography 用于视觉密码术的图像孵化

2009 13th International Machine Vision and Image Processing Conference Pub Date : 2009-09-02 DOI: 10.1145/2344436.2344438

J. Weir, Weiqi Yan, M. Kankanhalli

引用次数: 23

Towards Automatic Trunk Classification on Young Conifers 幼龄针叶树树干自动分类研究

2009 13th International Machine Vision and Image Processing Conference Pub Date : 2009-09-02 DOI: 10.1109/IMVIP.2009.31

Stig Petri, John Immerkær

引用次数: 0

Feature-Assisted Sparse to Dense Motion Estimation Using Geodesic Distances 基于测地线距离的特征辅助稀疏到密集运动估计

2009 13th International Machine Vision and Image Processing Conference Pub Date : 2009-09-02 DOI: 10.1109/IMVIP.2009.9

Daniel A. Ring, François Pitié

引用次数: 7

Estimation of Errors in Gene Expression Data Introduced by Diffractive Blurring of Confocal Images 共聚焦图像衍射模糊引入的基因表达数据误差估计

2009 13th International Machine Vision and Image Processing Conference Pub Date : 2009-09-02 DOI: 10.1109/IMVIP.2009.17

E. Myasnikova, S. Surkova, M. Samsonova, J. Reinitz

引用次数: 4

Multichannel Watermarking for Color Images by Using Quantization Visibility Thresholds 基于量化可见性阈值的彩色图像多通道水印

2009 13th International Machine Vision and Image Processing Conference Pub Date : 2009-09-02 DOI: 10.1109/IMVIP.2009.19

Kuo-Cheng Liu

{"title":"Multichannel Watermarking for Color Images by Using Quantization Visibility Thresholds","authors":"Kuo-Cheng Liu","doi":"10.1109/IMVIP.2009.19","DOIUrl":"https://doi.org/10.1109/IMVIP.2009.19","url":null,"abstract":"In this paper, a wavelet-based watermarking scheme for color images is proposed. The watermarking scheme is based on the design of a color visual model that is the modification of a perceptual model used in the image coding of gray scale images. The model is designed to estimate and utilize the noise detection threshold of each wavelet coefficient in luminance and chrominance components in order to satisfy the transparency and robustness required by color image watermarking techniques. Besides the visual masking given by taking into account the luminance content and the texture, the crossed masking effect and the effect given by the variance within the local region of the target coefficient are investigated such that the estimated noise detection threshold is more close to the real noise detection threshold. In a locally adaptive fashion based on the wavelet decomposition, the thresholds of subband coefficients in each color component are derived to construct a perceptually lossless quantization matrix for embedding watermarks. Performance in terms of robustness and transparency is obtained by embedding the maximum strength watermark while maintaining the perceptually lossless quality of the watermarked color image. Simulation results show that the proposed scheme is more robust than the existing schemes while retaining the watermark transparency.","PeriodicalId":179564,"journal":{"name":"2009 13th International Machine Vision and Image Processing Conference","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122967004","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

Watermarking for Palmprint Image Protection 水印掌纹图像保护

2009 13th International Machine Vision and Image Processing Conference Pub Date : 2009-09-02 DOI: 10.1109/IMVIP.2009.20

M. Laadjel, Khalil Zebbiche, F. Kurugullu, A. Bouridane, O. Nibouche

引用次数: 1