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IEEE International Conference on Image Processing 2005最新文献

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A variable background active contour model for automatic detection of thyroid nodules in ultrasound images 一种用于超声图像中甲状腺结节自动检测的可变背景活动轮廓模型
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1529676
M. Savelonas, D. Maroulis, Dimitrios K. Iakovidis, S. Karkanis, N. Dimitropoulos
{"title":"A variable background active contour model for automatic detection of thyroid nodules in ultrasound images","authors":"M. Savelonas, D. Maroulis, Dimitrios K. Iakovidis, S. Karkanis, N. Dimitropoulos","doi":"10.1109/ICIP.2005.1529676","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1529676","url":null,"abstract":"A novel active contour model named variable background active contour model is proposed and applied for the detection of thyroid nodules in ultrasound images. The new model offers edge independency, no need for smoothing, ability for topological changes and it is more accurate when compared to the active contour without edges model. Improved accuracy is achieved by introducing as background a limited image subset which appropriately changes shape to reduce the effects of background inhomogeneity. We validated the proposed model on ultrasound images acquired from 24 patients and the results demonstrate an improvement in accuracy when compared to the active contour without edges model.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123351477","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: 28
A comparison of Cartesian coordinate-based representations for building three-dimensional models of faces 建立三维人脸模型的基于笛卡尔坐标表示的比较
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1530265
Mario Castelán, E. Hancock
{"title":"A comparison of Cartesian coordinate-based representations for building three-dimensional models of faces","authors":"Mario Castelán, E. Hancock","doi":"10.1109/ICIP.2005.1530265","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1530265","url":null,"abstract":"We present an experimental analysis of three different ways of constructing three-dimensional statistical models of faces using Cartesian coordinates, namely, height, surface gradient and one based on Fourier domain basis functions. We test the ability of each of the models for dealing with information provided by shape-from-shading. Experiments show that the surface gradient based representation is more robust to noise than alternative Cartesian representations. Moreover, the method can be operated using a simple non-exhaustive parameter adjustment procedure and ensures that the recovered surface satisfies the image irradiance equation as a hard constraint.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"1 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123464133","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
Automatic color palette 自动调色板
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1530153
J. Delon, A. Desolneux, J. Lisani, A. Petro
{"title":"Automatic color palette","authors":"J. Delon, A. Desolneux, J. Lisani, A. Petro","doi":"10.1109/ICIP.2005.1530153","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1530153","url":null,"abstract":"Color palettes are an important tool for color image analysis, since they are the initial point of different techniques such as quantization or indexing. This paper presents a new method for the automatic construction of a color palette, which adjusts dynamically its number of colors according to the visual content of the image. The method is based on appropriately segmenting the HSI color space, which is achieved by individually partitioning the histograms associated to each color component. As a result we obtain a hierarchical color palette, which represents the color image with a reduced number of colors.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114080519","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: 50
Combination of multiple extraction algorithms in the detection of facial features 结合多种提取算法进行人脸特征的检测
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1530071
S. Ioannou, M. Wallace, K. Karpouzis, A. Raouzaiou, S. Kollias
{"title":"Combination of multiple extraction algorithms in the detection of facial features","authors":"S. Ioannou, M. Wallace, K. Karpouzis, A. Raouzaiou, S. Kollias","doi":"10.1109/ICIP.2005.1530071","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1530071","url":null,"abstract":"Automated analysis of facial images for the estimation of the displayed expression is essential in the design of intuitive and accessible human computer interaction systems. In existing rule-based expression recognition approaches, different feature extraction techniques have been tested that allow for the automatic detection of feature points, providing the required input for a rule based expression analysis; each one of these techniques outperforms others under specific constraints. In this paper we propose a feature extraction system which combines analysis from multiple channels based on their confidence, to result in better, error resilient facial feature boundary detection. The proposed approach has been implemented as an extension to an existing expression analysis system in the framework of the 1ST ERMIS project.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116352039","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: 6
Sequence-level models for distortion-rate behaviour of compressed video 压缩视频失真率行为的序列级模型
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1530098
R. Choi, M. Ivrlac, E. Steinbach, J. Nossek
{"title":"Sequence-level models for distortion-rate behaviour of compressed video","authors":"R. Choi, M. Ivrlac, E. Steinbach, J. Nossek","doi":"10.1109/ICIP.2005.1530098","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1530098","url":null,"abstract":"In this paper, two empirical models for the sequence-level distortion-rate performance of predictive video source encoding are proposed. They require very limited amount of empirical data, namely three pairs of rate and distortion, in order to set up the model parameters. The advantages of these proposed models are the robustness towards measurement noise, low number of model parameters with a closed form setup solution, and high accuracy. Experimental validation using H.264/AVC encoded video test sequences reports high accuracy of these two proposed models.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121709821","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: 43
Multiresolution parametric estimation of transparent motions 透明运动的多分辨率参数估计
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1529707
Vincent Auvray, P. Bouthemy, J. Liénard
{"title":"Multiresolution parametric estimation of transparent motions","authors":"Vincent Auvray, P. Bouthemy, J. Liénard","doi":"10.1109/ICIP.2005.1529707","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1529707","url":null,"abstract":"A new framework dealing with motion estimation in transparent images is presented. It relies on a block-oriented estimation involving an efficient multiresolution minimization. A downhill simplex method provides an appropriate initialization to this scheme. The estimated velocity vectors are greatly improved by an original postprocessing stage which performs a single motion estimation on differences of warped images. Finally, a regularization step is carried out. It is demonstrated on a large set of simulations that a quarter-pixel accuracy can be attained on noise-free images. The case of noisy images is also addressed and provides satisfactory results, even in the case of low-contrasted medical images. An example on real clinical images is also reported with promising results.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114711896","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: 7
Robust feature extraction technique for texture image retrieval 纹理图像检索的鲁棒特征提取技术
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1529803
Zhuo Liu, S. Wada
{"title":"Robust feature extraction technique for texture image retrieval","authors":"Zhuo Liu, S. Wada","doi":"10.1109/ICIP.2005.1529803","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1529803","url":null,"abstract":"This paper proposes a novel texture feature extraction technique for texture image retrieval. The method is robust to geometric distortions as well as noise effect. The geometric distortions include rotation, scaling and translation modifications of textures. In the feature extracting process, log-polar transformed autocorrelation images are introduced to eliminate the effects of the entire distortions. The influence of additive noise is reduced by modifying autocorrelation images. In the retrieval process, valuable wavelet packet statistics is used to measure similarity between individual images. The effectiveness of our method is demonstrated using noisy distorted texture image database in the experimental simulations.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114859300","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: 8
Optimizing color performance for LCD computer monitors 优化LCD电脑显示器的色彩表现
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1529976
G. Marcu
{"title":"Optimizing color performance for LCD computer monitors","authors":"G. Marcu","doi":"10.1109/ICIP.2005.1529976","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1529976","url":null,"abstract":"Despite the fact that the LCD computer monitors have undergone a tremendous technology improvement in recent years, their color performance may still be enhanced through image processing. This paper presents few correction algorithms for improving color performance of the LCD computer monitors in the area of gray tracking, viewing angle performance and response time. The implementation of each algorithm does not require special hardware additions or alterations or architecture changes, but it uses the existent resources of a modern computer system.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"280 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124493498","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: 1
Unconstrained handwritten character recognition using metaclasses of characters 使用字符元类的无约束手写字符识别
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1530112
Alessandro Lameiras Koerich, P. R. Kalva
{"title":"Unconstrained handwritten character recognition using metaclasses of characters","authors":"Alessandro Lameiras Koerich, P. R. Kalva","doi":"10.1109/ICIP.2005.1530112","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1530112","url":null,"abstract":"In this paper we tackle the problem of unconstrained handwritten character recognition using different classification strategies. For such an aim, four multilayer perceptron classifiers (MLP) were built and used into three different classification strategies: combination of two 26-class classifiers; 26-metaclass classifier; 52-class classifier. Experimental results on the NIST SD19 database have shown that the recognition rate achieved by the metaclass classifier (87.8%) outperforms the other approaches (82.9% and 86.3%).","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124096405","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: 25
On the benefits of leaf merging in quad-tree motion models 四叉树运动模型中叶合并的好处
IEEE International Conference on Image Processing 2005 Pub Date : 2005-11-14 DOI: 10.1109/ICIP.2005.1530191
Raffaele De Forni, D. Taubman
{"title":"On the benefits of leaf merging in quad-tree motion models","authors":"Raffaele De Forni, D. Taubman","doi":"10.1109/ICIP.2005.1530191","DOIUrl":"https://doi.org/10.1109/ICIP.2005.1530191","url":null,"abstract":"In the field of image coding, it has recently been shown that quad-tree schemes for representing geometric image features are unable to obtain the optimal exponentially decaying rate-distortion behaviour - a problem which can be rectified by following R-D optimal tree pruning with a leaf merging step. Inspired by such results, we note that quad-tree based motion representations for video compression suffer from the same fundamental shortcomings, which can again be overcome by leaf merging. Based on these observations, we describe a non-iterative low complexity extension to the existing motion model used by H.264, demonstrating significant improvements in overall compression performance. At low to moderate bit-rates, our experimental implementation yields reductions of 10% or more in overall bit-rate, relative to H.264. Perhaps more importantly, this paper reinforces the importance of leaf merging as a general tool for quad-tree based modeling schemes.","PeriodicalId":295452,"journal":{"name":"IEEE International Conference on Image Processing 2005","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2005-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127599712","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: 31
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