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Proceedings. International Conference on Image Processing最新文献

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CELL SEGMENTATION USING HESSIAN-BASED DETECTION AND CONTOUR EVOLUTION WITH DIRECTIONAL DERIVATIVES. 基于hessian检测的细胞分割和基于方向导数的轮廓演化。
Proceedings. International Conference on Image Processing Pub Date : 2008-10-12 DOI: 10.1109/ICIP.2008.4712127
I Ersoy, F Bunyak, M A Mackey, K Palaniappan
{"title":"CELL SEGMENTATION USING HESSIAN-BASED DETECTION AND CONTOUR EVOLUTION WITH DIRECTIONAL DERIVATIVES.","authors":"I Ersoy, F Bunyak, M A Mackey, K Palaniappan","doi":"10.1109/ICIP.2008.4712127","DOIUrl":"10.1109/ICIP.2008.4712127","url":null,"abstract":"<p><p>The large amount of data produced by biological live cell imaging studies of cell behavior requires accurate automated cell segmentation algorithms for rapid, unbiased and reproducible scientific analysis. This paper presents a new approach to obtain precise boundaries of cells with complex shapes using ridge measures for initial detection and a modified geodesic active contour for curve evolution that exploits the halo effect present in phase-contrast microscopy. The level set contour evolution is controlled by a novel spatially adaptive stopping function based on the intensity profile perpendicular to the evolving front. The proposed approach is tested on human cancer cell images from LSDCAS and achieves high accuracy even in complex environments.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"2008 ","pages":"1804-1807"},"PeriodicalIF":0.0,"publicationDate":"2008-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2743148/pdf/nihms127567.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"28403986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
COMPUTER-AIDED DIAGNOSIS AND VISUALIZATION BASED ON CLUSTERING AND INDEPENDENT COMPONENT ANALYSIS FOR BREAST MRI. 基于聚类和独立分量分析的乳腺mri计算机辅助诊断与可视化。
Proceedings. International Conference on Image Processing Pub Date : 2008-10-12 DOI: 10.1109/ICIP.2008.4712426
A Meyer-Baese, O Lange, T Schlossbauer, A Wismüller
{"title":"COMPUTER-AIDED DIAGNOSIS AND VISUALIZATION BASED ON CLUSTERING AND INDEPENDENT COMPONENT ANALYSIS FOR BREAST MRI.","authors":"A Meyer-Baese, O Lange, T Schlossbauer, A Wismüller","doi":"10.1109/ICIP.2008.4712426","DOIUrl":"10.1109/ICIP.2008.4712426","url":null,"abstract":"<p><p>Computer-aided diagnosis and simultaneous visualization based on independent component analysis and clustering are integrated in an intelligent system for the evaluation of small mammographic lesions in breast MRI. These techniques are tested on biomedical time-series representing breast MRI scans and enable the extraction of spatial and temporal features of dynamic MRI data stemming from patients with confirmed lesion diagnosis. By revealing regional properties of contrast-agent uptake characterized by subtle differences of signal amplitude and dynamics, these methods provide both a set of prototypical time-series and a corresponding set of cluster assignment maps which further provide a segmentation with regard to identification and regional subclassification of pathological breast tissue lesions. Both approaches lead to an increase of the diagnostic accuracy of MRI mammography by improving the sensitivity without reduction of specificity.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"2008 ","pages":"3000-3003"},"PeriodicalIF":0.0,"publicationDate":"2008-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2776755/pdf/nihms134737.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"28510163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
KERNEL-BASED HIGH-DIMENSIONAL HISTOGRAM ESTIMATION FOR VISUAL TRACKING. 基于核的高维直方图视觉跟踪估计。
Proceedings. International Conference on Image Processing Pub Date : 2008-01-01 DOI: 10.1109/icip.2008.4712358
Peter Karasev, James Malcolm, Allen Tannenbaum
{"title":"KERNEL-BASED HIGH-DIMENSIONAL HISTOGRAM ESTIMATION FOR VISUAL TRACKING.","authors":"Peter Karasev,&nbsp;James Malcolm,&nbsp;Allen Tannenbaum","doi":"10.1109/icip.2008.4712358","DOIUrl":"https://doi.org/10.1109/icip.2008.4712358","url":null,"abstract":"<p><p>We propose an approach for non-rigid tracking that represents objects by their set of distribution parameters. Compared to joint histogram representations, a set of parameters such as mixed moments provides a significantly reduced size representation. The discriminating power is comparable to that of the corresponding full high-dimensional histogram yet at far less spatial and computational complexity. The proposed method is robust in the presence of noise and illumination changes, and provides a natural extension to the use of mixture models. Experiments demonstrate that the proposed method outperforms both full color mean-shift and global covariance searches.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":" ","pages":"2728-2731"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/icip.2008.4712358","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31425400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 6
PRINCIPAL COMPONENTS FOR NON-LOCAL MEANS IMAGE DENOISING. 非局部主成分均值图像去噪。
Proceedings. International Conference on Image Processing Pub Date : 2008-01-01 DOI: 10.1109/ICIP.2008.4712108
Tolga Tasdizen
{"title":"PRINCIPAL COMPONENTS FOR NON-LOCAL MEANS IMAGE DENOISING.","authors":"Tolga Tasdizen","doi":"10.1109/ICIP.2008.4712108","DOIUrl":"10.1109/ICIP.2008.4712108","url":null,"abstract":"<p><p>This paper presents an image denoising algorithm that uses principal component analysis (PCA) in conjunction with the non-local means image denoising. Image neighborhood vectors used in the non-local means algorithm are first projected onto a lower-dimensional subspace using PCA. Consequently, neighborhood similarity weights for denoising are computed using distances in this subspace rather than the full space. This modification to the non-local means algorithm results in improved accuracy and computational performance. We present an analysis of the proposed method's accuracy as a function of the dimensionality of the projection subspace and demonstrate that denoising accuracy peaks at a relatively low number of dimensions.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"2008 ","pages":"1728-1731"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2631181/pdf/nihms77343.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27954497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
TRACKING THROUGH CHANGES IN SCALE. 跟踪规模的变化。
Proceedings. International Conference on Image Processing Pub Date : 2008-01-01 DOI: 10.1109/ICIP.2008.4711736
Shawn Lankton, James Malcolm, Arie Nakhmani, Allen Tannenbaum
{"title":"TRACKING THROUGH CHANGES IN SCALE.","authors":"Shawn Lankton,&nbsp;James Malcolm,&nbsp;Arie Nakhmani,&nbsp;Allen Tannenbaum","doi":"10.1109/ICIP.2008.4711736","DOIUrl":"https://doi.org/10.1109/ICIP.2008.4711736","url":null,"abstract":"<p><p>We propose a tracking system that is especially well-suited to tracking targets which change drastically in size or appearance. To accomplish this, we employ a fast, two phase template matching algorithm along with a periodic template update method. The template matching step ensures accurate localization while the template update scheme allows the target model to change over time along with the appearance of the target. Furthermore, the algorithm can deliver real-time results even when targets are very large. We demonstrate the proposed method with good results on several sequences showing targets which exhibit large changes in size, shape, and appearance.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":" ","pages":"241-244"},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/ICIP.2008.4711736","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"31500722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
MOTION FLOW ESTIMATION FROM IMAGE SEQUENCES WITH APPLICATIONS TO BIOLOGICAL GROWTH AND MOTILITY. 基于图像序列的运动流估计及其在生物生长和运动中的应用。
Proceedings. International Conference on Image Processing Pub Date : 2006-10-08 DOI: 10.1109/ICIP.2006.312551
Gang Dong, Tobias I Baskin, Kannappan Palaniappan
{"title":"MOTION FLOW ESTIMATION FROM IMAGE SEQUENCES WITH APPLICATIONS TO BIOLOGICAL GROWTH AND MOTILITY.","authors":"Gang Dong, Tobias I Baskin, Kannappan Palaniappan","doi":"10.1109/ICIP.2006.312551","DOIUrl":"10.1109/ICIP.2006.312551","url":null,"abstract":"<p><p>In this paper, a new method for motion flow estimation that considers errors in all the derivative measurements is presented. Based on the total least squares (TLS) model, we accurately estimate the motion flow in the general noise case by combining noise model (in form of covariance matrix) with a parametric motion model. The proposed algorithm is tested on two different types of biological motion, a growing plant root and a gastrulating embryo, with sequences obtained microscopically. The local, instantaneous velocity field estimated by the algorithm reveals the behavior of the underlying cellular elements.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"2006 ","pages":"1245-1248"},"PeriodicalIF":0.0,"publicationDate":"2006-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2678006/pdf/nihms66121.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"28158991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A VARIATIONAL FRAMEWORK FOR PARTIALLY OCCLUDED IMAGE SEGMENTATION USING COARSE TO FINE SHAPE ALIGNMENT AND SEMI-PARAMETRIC DENSITY APPROXIMATION. 基于粗到细形状对齐和半参数密度近似的部分遮挡图像分割变分框架。
Proceedings. International Conference on Image Processing Pub Date : 2006-01-01 DOI: 10.1109/ICIP.2007.4378885
Lin Yang, David J Foran
{"title":"A VARIATIONAL FRAMEWORK FOR PARTIALLY OCCLUDED IMAGE SEGMENTATION USING COARSE TO FINE SHAPE ALIGNMENT AND SEMI-PARAMETRIC DENSITY APPROXIMATION.","authors":"Lin Yang, David J Foran","doi":"10.1109/ICIP.2007.4378885","DOIUrl":"10.1109/ICIP.2007.4378885","url":null,"abstract":"<p><p>In this paper, we propose a variational framework which combines top-down and bottom-up information to address the challenge of partially occluded image segmentation. The algorithm applies shape priors and divides shape learning into shape mode clustering and non-rigid transformation estimation to handle intraclass and interclass coarse to fine variations. A semi-parametric density approximation using adaptive meanshift and L(2)E robust estimation is used to model the likelihood. A set of real images is used to show the good performance of the algorithm.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"1 4378885","pages":"137-140"},"PeriodicalIF":0.0,"publicationDate":"2006-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2657958/pdf/nihms76862.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"28059722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ENHANCEMENT OF CELL BOUNDARIES IN TRANSMISSION ELECTRON MICROSCOPY IMAGES. 透射电镜图像中细胞边界的增强。
Proceedings. International Conference on Image Processing Pub Date : 2005-01-01 DOI: 10.1109/ICIP.2005.1530008
Tolga Tasdizen, Ross Whitaker, Robert Marc, Bryan Jones
{"title":"ENHANCEMENT OF CELL BOUNDARIES IN TRANSMISSION ELECTRON MICROSCOPY IMAGES.","authors":"Tolga Tasdizen, Ross Whitaker, Robert Marc, Bryan Jones","doi":"10.1109/ICIP.2005.1530008","DOIUrl":"10.1109/ICIP.2005.1530008","url":null,"abstract":"<p><p>Transmission electron microscopy (TEM) is an important modality for the analysis of cellular structures in neurobiology. The computational analysis of neurons entail their segmentation and reconstruction from TEM images. This problem is complicated by the heavily textured nature of cellular TEM images and typically low signal-to-noise ratios. In this paper, we propose a new partial differential equation for enhancing the contrast and continuity of cell membranes in TEM images.</p>","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"2 ","pages":"129-132"},"PeriodicalIF":0.0,"publicationDate":"2005-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2630188/pdf/nihms-77337.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27947197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Real-time reconstruction of wavelet encoded meshes for view-dependent transmission and visualization 小波编码网格的实时重建，用于视相关传输和可视化
Proceedings. International Conference on Image Processing Pub Date : 2004-07-01 DOI: 10.1109/ICIP.2002.1038890
P. Gioia, O. Aubault, C. Bouville
{"title":"Real-time reconstruction of wavelet encoded meshes for view-dependent transmission and visualization","authors":"P. Gioia, O. Aubault, C. Bouville","doi":"10.1109/ICIP.2002.1038890","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1038890","url":null,"abstract":"Wavelet methods for geometry encoding is a recently emerged superset of multiresolution analysis which has proven to be very efficient in term of compression and adaptive transmission of 3D content. The decorrelating power and space/scale localization of wavelets enable efficient compression of arbitrary meshes as well as progressive and local reconstruction. Recent techniques based on zerotree compression have shown to be among the best lossy mesh compression methods, while remaining compatible with selective transmission of geometric data at various level of detail. While some progressive reconstruction schemes have been proposed in the past, we show in this paper that this representation, recently proposed in the MPEG4 standard, can be efficiently used to perform real-time, view-dependent reconstruction of large meshes. The proposed system combines algorithms for local updates, cache management and server/client dialog. The local details management is an improvement of progressive reconstructions built on top of hierarchical structures. It enables fast, homogeneous accommodation and suppression of wavelet coefficients at any level of subdivision, with time complexity independent of the size of the reconstructed mesh. The cache structure wisely exploits the hierarchical character of the received data, in order to avoid redundant information transmission. The whole system enables the client to have total control on the quality of navigation according to its storage and processing capabilities, whatever the size of the mesh.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"16 1","pages":"III-III"},"PeriodicalIF":0.0,"publicationDate":"2004-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82179290","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: 30
Efficient image-dependent object shape coding 高效的图像相关对象形状编码
Proceedings. International Conference on Image Processing Pub Date : 2002-12-10 DOI: 10.1109/ICIP.2002.1037986
H. Luo
{"title":"Efficient image-dependent object shape coding","authors":"H. Luo","doi":"10.1109/ICIP.2002.1037986","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1037986","url":null,"abstract":"We present a new shape coding algorithm, which differs from previous algorithms in that both the coding and decoding are dependent on the image in which the object is defined. This way, the correlation between image and shape is removed and shape coding efficiency is improved on average by 3 times over the state-of-the-art algorithms.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"52 1","pages":"I-I"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73816456","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
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