Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing最新文献
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.638687
Yudong Zhu, N. Pelc
Presents a method for nonrigid cyclic motion analysis using a series of velocity images, acquired for example, from phase contrast magnetic resonance imaging. The method is based on fitting a global spatiotemporal finite element mesh model, which has controllable builtin spatial/temporal smoothing that is determined by the finesse of the initially defined mesh and richness of included Fourier harmonics, to velocity samples of an extended region at all time frames. If desired, the method can further provide a prediction of the analysis reproducibility along with the estimated motion and deformation quantities. Experiments have been conducted to validate the method and verify the reproducibility prediction.
{"title":"A spatiotemporal finite element mesh model of cyclical deforming motion and its application in myocardial motion analysis using phase contrast MR images","authors":"Yudong Zhu, N. Pelc","doi":"10.1109/ICIP.1997.638687","DOIUrl":"https://doi.org/10.1109/ICIP.1997.638687","url":null,"abstract":"Presents a method for nonrigid cyclic motion analysis using a series of velocity images, acquired for example, from phase contrast magnetic resonance imaging. The method is based on fitting a global spatiotemporal finite element mesh model, which has controllable builtin spatial/temporal smoothing that is determined by the finesse of the initially defined mesh and richness of included Fourier harmonics, to velocity samples of an extended region at all time frames. If desired, the method can further provide a prediction of the analysis reproducibility along with the estimated motion and deformation quantities. Experiments have been conducted to validate the method and verify the reproducibility prediction.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"39 1","pages":"117-120 vol.2"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86993844","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.647400
M. Braun, M. Hahn, J. Ohm, M. Talmi
This paper introduces a high-quality, low-cost video converter for the conversion of interlaced TV signals into progressive display formats of the same or higher frame repetition rate. This conversion is performed by motion compensated filtering which is preceded by motion estimation. The applied motion estimation algorithm operates on blocks sized 4/spl times/4 pixels. For each of these blocks, a candidate vector is chosen out of temporal and spatial predecessors using a displayed field differences error criterion. The optimal candidate is updated by a series of pixel recursive steps. The filter algorithm employs a motion compensating median filter whose shape depends on the motion vector. A fallback mode is implemented to deal with areas for which no accurate motion vectors could be derived. Single-chip integration of the whole format conversion system is feasible.
{"title":"Motion-compensating real-time format converter for video on multimedia displays","authors":"M. Braun, M. Hahn, J. Ohm, M. Talmi","doi":"10.1109/ICIP.1997.647400","DOIUrl":"https://doi.org/10.1109/ICIP.1997.647400","url":null,"abstract":"This paper introduces a high-quality, low-cost video converter for the conversion of interlaced TV signals into progressive display formats of the same or higher frame repetition rate. This conversion is performed by motion compensated filtering which is preceded by motion estimation. The applied motion estimation algorithm operates on blocks sized 4/spl times/4 pixels. For each of these blocks, a candidate vector is chosen out of temporal and spatial predecessors using a displayed field differences error criterion. The optimal candidate is updated by a series of pixel recursive steps. The filter algorithm employs a motion compensating median filter whose shape depends on the motion vector. A fallback mode is implemented to deal with areas for which no accurate motion vectors could be derived. Single-chip integration of the whole format conversion system is feasible.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"37 1","pages":"125-128 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87588532","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.638808
A. Teschioni, C. Regazzoni, E. Stringa
A method for color image restoration based on the concept of Markov random fields and space-filling curves is presented. This work is a vectorial extension of a scalar deterministic solution for Markov random fields (MRFs). The proposed method represents an efficient alternative to the use of the vectorial deterministic solution for MRFs. The application of the space filling curve transformation allows one to apply the MRF algorithm to a scalar image with N/sup 3/ grey levels (typically N=256). The scalar MRF approach is based on expressing the energy function by means of the Euclidean norm in the vectorial space. This approach implies a high computational load. The new method involves a computational load lower than the vectorial case because the energy function is presented in the scalar space obtained after space filling curve based transformation.
{"title":"A Markovian approach to color image restoration based on space filling curves","authors":"A. Teschioni, C. Regazzoni, E. Stringa","doi":"10.1109/ICIP.1997.638808","DOIUrl":"https://doi.org/10.1109/ICIP.1997.638808","url":null,"abstract":"A method for color image restoration based on the concept of Markov random fields and space-filling curves is presented. This work is a vectorial extension of a scalar deterministic solution for Markov random fields (MRFs). The proposed method represents an efficient alternative to the use of the vectorial deterministic solution for MRFs. The application of the space filling curve transformation allows one to apply the MRF algorithm to a scalar image with N/sup 3/ grey levels (typically N=256). The scalar MRF approach is based on expressing the energy function by means of the Euclidean norm in the vectorial space. This approach implies a high computational load. The new method involves a computational load lower than the vectorial case because the energy function is presented in the scalar space obtained after space filling curve based transformation.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"49 1","pages":"462-465 vol.2"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88044253","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.632086
Zhi-Pei Liang, Hao Pan, R. Magin, N. Ahuja, Thomas S. Huang
This paper presents a robust algorithm for automated registration of images related by rigid-body transformations. This algorithm uses a new region-based similarity metric, which enables accurate registration of images of large contrast differences. Region segmentation required by the metric is accomplished using a multiscale segmentation algorithm, and minimization of this metric is done using the Powell direction set method. Experimental results are presented to demonstrate that the algorithm is effective for aligning images from single or multiple imaging modalities without the use of any fiducial markers.
{"title":"Automated registration of multimodality images by maximization of a region similarity measure","authors":"Zhi-Pei Liang, Hao Pan, R. Magin, N. Ahuja, Thomas S. Huang","doi":"10.1109/ICIP.1997.632086","DOIUrl":"https://doi.org/10.1109/ICIP.1997.632086","url":null,"abstract":"This paper presents a robust algorithm for automated registration of images related by rigid-body transformations. This algorithm uses a new region-based similarity metric, which enables accurate registration of images of large contrast differences. Region segmentation required by the metric is accomplished using a multiscale segmentation algorithm, and minimization of this metric is done using the Powell direction set method. Experimental results are presented to demonstrate that the algorithm is effective for aligning images from single or multiple imaging modalities without the use of any fiducial markers.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"89 1","pages":"272-275 vol.3"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88105246","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.648116
T. J. Connolly, R. Lane
Conjugate gradient methods for superresolution are shown to accelerate convergence to the solution. The ill-posed nature of superresolution, combined with the fast convergence of the conjugate gradient algorithm, results in oscillatory artifacts or "null objects" which must be dealt with by regularization. We utilize a combination of Tikhonov-Miller regularization and positivity constraints as a means of regularizing the conjugate gradient algorithm.
{"title":"Gradient methods for superresolution","authors":"T. J. Connolly, R. Lane","doi":"10.1109/ICIP.1997.648116","DOIUrl":"https://doi.org/10.1109/ICIP.1997.648116","url":null,"abstract":"Conjugate gradient methods for superresolution are shown to accelerate convergence to the solution. The ill-posed nature of superresolution, combined with the fast convergence of the conjugate gradient algorithm, results in oscillatory artifacts or \"null objects\" which must be dealt with by regularization. We utilize a combination of Tikhonov-Miller regularization and positivity constraints as a means of regularizing the conjugate gradient algorithm.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"1 1","pages":"917-920 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88245152","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.638670
Klaus Stuhlmüller, B. Girod
In this paper a contour prediction scheme is presented. Its application in a region-based motion compensation algorithm is shown. To achieve optimal performance in a rate-distortion sense the predicted regions are optimized by using a Lagrangian cost function. By using contour prediction the bit rate for motion compensation can be decreased.
{"title":"Rate-distortion optimal contour prediction for a region-based coder","authors":"Klaus Stuhlmüller, B. Girod","doi":"10.1109/ICIP.1997.638670","DOIUrl":"https://doi.org/10.1109/ICIP.1997.638670","url":null,"abstract":"In this paper a contour prediction scheme is presented. Its application in a region-based motion compensation algorithm is shown. To achieve optimal performance in a rate-distortion sense the predicted regions are optimized by using a Lagrangian cost function. By using contour prediction the bit rate for motion compensation can be decreased.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"2 1","pages":"49-52 vol.2"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88326027","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.648088
C. Swain, B. Haskell
This paper presents a method to color balance images. This method is useful for correcting images in video conferencing, where multiple video sources are displayed and each image has a different "look". The advantages of this approach are that it does not require a color reference object in each image, i.e. no a priori knowledge of the scene is required, that it can be used on the entire image, and that it is simple to implement. Preliminary results show that our approach can successfully correct images to appear more uniform and visually pleasing.
{"title":"Color balance for video conferencing","authors":"C. Swain, B. Haskell","doi":"10.1109/ICIP.1997.648088","DOIUrl":"https://doi.org/10.1109/ICIP.1997.648088","url":null,"abstract":"This paper presents a method to color balance images. This method is useful for correcting images in video conferencing, where multiple video sources are displayed and each image has a different \"look\". The advantages of this approach are that it does not require a color reference object in each image, i.e. no a priori knowledge of the scene is required, that it can be used on the entire image, and that it is simple to implement. Preliminary results show that our approach can successfully correct images to appear more uniform and visually pleasing.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"30 1","pages":"815-817 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86287580","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.647968
Joseph Ó Ruanaidh, T. Pun
A digital watermark is an invisible mark embedded in a digital image which may be used for copyright protection. This paper proposes that Fourier-Mellin transform-based invariants can be used for digital image watermarking. The embedded marks may be designed to be unaffected by any combination of rotation, scale and translation transformations. The original image is not required for extracting the embedded mark.
{"title":"Rotation, scale and translation invariant digital image watermarking","authors":"Joseph Ó Ruanaidh, T. Pun","doi":"10.1109/ICIP.1997.647968","DOIUrl":"https://doi.org/10.1109/ICIP.1997.647968","url":null,"abstract":"A digital watermark is an invisible mark embedded in a digital image which may be used for copyright protection. This paper proposes that Fourier-Mellin transform-based invariants can be used for digital image watermarking. The embedded marks may be designed to be unaffected by any combination of rotation, scale and translation transformations. The original image is not required for extracting the embedded mark.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"71 1","pages":"536-539 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86388786","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.647446
O. Cuisenaire, B. Macq
A new region growing algorithm has been proposed for computing Euclidean distance maps in a time comparable to widely used chamfer distance transform. We show how this algorithm can be extended to more complex tasks such as the computation of distance maps on anisotropic grids and the generation of a new type of Euclidean skeletons.
{"title":"Applications of the region growing Euclidean distance transform: anisotropy and skeletons","authors":"O. Cuisenaire, B. Macq","doi":"10.1109/ICIP.1997.647446","DOIUrl":"https://doi.org/10.1109/ICIP.1997.647446","url":null,"abstract":"A new region growing algorithm has been proposed for computing Euclidean distance maps in a time comparable to widely used chamfer distance transform. We show how this algorithm can be extended to more complex tasks such as the computation of distance maps on anisotropic grids and the generation of a new type of Euclidean skeletons.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"14 1","pages":"200-203 vol.1"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86457080","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}
Pub Date : 1997-10-26DOI: 10.1109/ICIP.1997.632137
R. N. Strickland, Gregory J. Lukins
A fuzzy system is designed to classify features in the output of a wavelets-based correlation filter used for enhancing clusters of fine, granular microcalcifications-an early sign of cancer-in digitized mammograms. Each local peak in the correlation filter output is represented by a set of five features describing the shape, size and definition of the peak. These features-prominence, steepness, distinctness, compactness, and departure-are used in linguistic rules such as "IF prominence is high AND distinctness is mid-ranged AND steepness is mid-ranged THEN it might be a calcification." A fuzzy rule-based system with eight rules is trained to distinguish between microcalcifications and normal mammogram texture. Compared to wavelet processing alone, the fuzzy detection system produces an improvement of around 10% in true positive fraction when tested on a public domain mammogram database.
{"title":"Fuzzy system improves the performance of wavelet-based correlation detectors","authors":"R. N. Strickland, Gregory J. Lukins","doi":"10.1109/ICIP.1997.632137","DOIUrl":"https://doi.org/10.1109/ICIP.1997.632137","url":null,"abstract":"A fuzzy system is designed to classify features in the output of a wavelets-based correlation filter used for enhancing clusters of fine, granular microcalcifications-an early sign of cancer-in digitized mammograms. Each local peak in the correlation filter output is represented by a set of five features describing the shape, size and definition of the peak. These features-prominence, steepness, distinctness, compactness, and departure-are used in linguistic rules such as \"IF prominence is high AND distinctness is mid-ranged AND steepness is mid-ranged THEN it might be a calcification.\" A fuzzy rule-based system with eight rules is trained to distinguish between microcalcifications and normal mammogram texture. Compared to wavelet processing alone, the fuzzy detection system produces an improvement of around 10% in true positive fraction when tested on a public domain mammogram database.","PeriodicalId":92344,"journal":{"name":"Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing","volume":"17 1","pages":"404-407 vol.3"},"PeriodicalIF":0.0,"publicationDate":"1997-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86240573","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}
Computer analysis of images and patterns : proceedings of the ... International Conference on Automatic Image Processing. International Conference on Automatic Image Processing
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：