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Proceedings 11th International Conference on Image Analysis and Processing最新文献

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Material determination from reflectance properties in aerial urban images 航空城市图像中反射率特性的测定
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957068
A. Carrilero, H. Maître, M. Roux
{"title":"Material determination from reflectance properties in aerial urban images","authors":"A. Carrilero, H. Maître, M. Roux","doi":"10.1109/ICIAP.2001.957068","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957068","url":null,"abstract":"Telecommunication operators intensively use simulation tools for optimizing positioning in mobile communication networks. These simulators are based on digital surface models to estimate electromagnetic wave propagation. In addition to a three dimensional model of the city which is conveniently obtained from aerial images, we propose to establish a cartography of urban materials from the same data. This cartography is derived from an analysis of the BRDF (binomial reflectivity distribution) of the materials under different viewing angles. For this purpose, we use a simple light reflection model and for each building or terrain parcel, we determine the parameters of the model. We found experimentally that the Blinn's model, although not physically derived, is the most adequate for this application. We propose to use a robust estimation method, the least median of squares estimator on Blinn's model. We test it on various materials, like red and dark tiles and slates. Calculated parameters are evaluated according to assumptions made on surface quality of these materials. We present the limits of the method.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128794386","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: 4
Multivalued image segmentation based on first fundamental form 基于第一基本形式的多值图像分割
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957006
P. Scheunders
{"title":"Multivalued image segmentation based on first fundamental form","authors":"P. Scheunders","doi":"10.1109/ICIAP.2001.957006","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957006","url":null,"abstract":"A new segmentation technique for multivalued images is elaborated. The technique makes use of the first fundamental form to access edge information of a multivalued image. On the obtained edge map, a watershed-based algorithm is applied. In order to remove noise or local texture, before segmentation, an anisotropic diffusion filter is applied, also making use of the first fundamental form. In this way, the entire procedure is applied using multivalued processing. Experiments are performed on colour images, medical multimodal images and multispectral satellite imagery. Segmentation results are compared to single-valued segmentation and filtering, applied to the intensity only or the band-average images.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129639243","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: 13
CONTEXT: a technique for image retrieval integrating CONtour and TEXTure information CONTEXT:一种融合轮廓和纹理信息的图像检索技术
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957013
Riccardo Distasi, M. Nappi, M. Tucci, S. Vitulano
{"title":"CONTEXT: a technique for image retrieval integrating CONtour and TEXTure information","authors":"Riccardo Distasi, M. Nappi, M. Tucci, S. Vitulano","doi":"10.1109/ICIAP.2001.957013","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957013","url":null,"abstract":"Many intrinsically 2-dimensional visual signals can be effectively encoded in a 1D form. This simpler representation is well-suited to both pattern recognition and image retrieval tasks. In particular, this paper deals with contour and texture, combined together in order to obtain an effective technique for content-based image indexing. The proposed method, named CONTEXT, represents CONtours and TEXTures by a vector containing the location and energy of the signal maxima. Such a representation has been utilized as the feature extraction engine in an image retrieval system for image databases. The homogeneous treatment reserved to both contour and texture information makes the algorithm elegant and easy to implement and extend. The data used for experimentally assessing CONTEXT were contours and textures from various application domains, plus a database of medical images. The experiments reveal a high discriminating power which in turn yields a high perceived quality of the retrieval results.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127831643","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: 10
Efficient methods for scratch removal in image sequences 图像序列中划痕去除的有效方法
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957067
L. Maddalena
{"title":"Efficient methods for scratch removal in image sequences","authors":"L. Maddalena","doi":"10.1109/ICIAP.2001.957067","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957067","url":null,"abstract":"Scratches are one of the most frequent defects appearing in digital film restoration, usually resolved as missing information in subsequent frames of an image sequence in a vertical area of each frame. We describe some methods for line scratch removal in digital image sequences, based on the idea of using an image model as simple as possible in order to interpolate scratch pixels, evaluating the displacement of such model from the real model in a neighbourhood of the scratch not affected by the defect, and correcting the reconstruction by adding the estimated displacement. Experimental results on real images are shown.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"219 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133421392","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: 22
Spatial clustering of pixels in the mouth area of face images 人脸图像嘴巴区域像素的空间聚类
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.956982
M. Sadeghi, J. Kittler, K. Messer
{"title":"Spatial clustering of pixels in the mouth area of face images","authors":"M. Sadeghi, J. Kittler, K. Messer","doi":"10.1109/ICIAP.2001.956982","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.956982","url":null,"abstract":"We propose a method of image segmentation using a Gaussian mixture model of the colour image histogram. The model construction is based on the model validation philosophy of architecture selection (Kittler et al., 2001). In contrast with the k-means clustering approach, the number of segments in the proposed scheme is determined completely automatically. We show that the modelling method can be strengthened by incorporating spatial contextual information. The proposed approach speeds up the modelling process by a factor of three. The advocated methodology is successfully applied to the problem of lip pixel segmentation in face images.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133895151","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
A flexible algorithm for image matching 一种灵活的图像匹配算法
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957024
F. Odone, A. Verri, E. Trucco
{"title":"A flexible algorithm for image matching","authors":"F. Odone, A. Verri, E. Trucco","doi":"10.1109/ICIAP.2001.957024","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957024","url":null,"abstract":"We propose a method for measuring the similarity between grey level images. The method is able to match images successfully even in the presence of small geometric deformations, illumination changes, and severe occlusions. It fits naturally an implementation based on a comparison of data structures which requires no numerical computations. The range of its applications is vast, and in particular it is a useful tool for object detection and iconic search. We present very good results on real images with and without occlusions, and a qualitative comparative study with a well-known correlation method.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116388921","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: 9
Temporal filtering of disparity measurements 视差测量的时间滤波
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.956999
L. D. Stefano, S. Mattoccia, Giovanni Neri, D. Piccinini
{"title":"Temporal filtering of disparity measurements","authors":"L. D. Stefano, S. Mattoccia, Giovanni Neri, D. Piccinini","doi":"10.1109/ICIAP.2001.956999","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.956999","url":null,"abstract":"The paper proposes a temporal filtering technique for the disparity measurements generated by area-based stereo-matching algorithms. The technique improves temporal consistency of disparity measurements by reducing the matching errors due to noise affecting the imaging system. Moreover, the technique is capable of increasing the number of correct matches by locating uncertain measurements with a criterion based on statistical assumptions that has proven to be more accurate and selective than those relying on texture operators only which are typically deployed with standard area-based stereo algorithms.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"244 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121271563","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
A genetic algorithm for scratch removal in static images 一种用于去除静态图像划痕的遗传算法
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957060
D. Tegolo, F. Isgrò
{"title":"A genetic algorithm for scratch removal in static images","authors":"D. Tegolo, F. Isgrò","doi":"10.1109/ICIAP.2001.957060","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957060","url":null,"abstract":"This paper investigates the removal of line scratches from old moving pictures and gives a twofold contribution. First, it presents a simple technique for detecting the scratches, based on an analysis of the statistics of the grey levels. Second, the scratch removal is approached as an optimisation problem, which is solved by using a genetic algorithm. The method can be classified as a static approach, as it works independently on each single frame of the sequence. It does not require any a-priori knowledge of the absolute position of the scratch, nor an external starting population of chromosomes for the genetic algorithm. The central column of the line scratch once detected is changed with a conventional linear interpolation; this transformation is the starting point of the optimisation process.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115801546","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: 18
A probabilistic model for the human skin color 人类肤色的概率模型
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957022
T. Caetano, D. Barone
{"title":"A probabilistic model for the human skin color","authors":"T. Caetano, D. Barone","doi":"10.1109/ICIAP.2001.957022","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957022","url":null,"abstract":"We present a multivariate statistical model to represent the human skin color. There are no limitations regarding whether the person is white or black, once the model is able to learn automatically the ethnicity of the person involved. We propose to model the skin color in the chromatic subspace, which is by default normalized with respect to illumination. First, skin samples from both white and black people are collected. These samples are then used to estimate a parametric statistical model, which consists of a mixture of Gaussian probability density functions (pdfs). Estimation is performed by a learning process based on the expectation-maximization (EM) algorithm. Experiments are carried out and receiver operating characteristics (ROC curves) are obtained to analyse the performance of the estimated model. The results are compared to those of models that use a single Gaussian density.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131010350","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: 51
Grey-level morphology based segmentation of MRI of the human cortex 基于灰度形态学的人类皮层MRI分割
Proceedings 11th International Conference on Image Analysis and Processing Pub Date : 2001-09-26 DOI: 10.1109/ICIAP.2001.957072
R. Hult, E. Bengtsson
{"title":"Grey-level morphology based segmentation of MRI of the human cortex","authors":"R. Hult, E. Bengtsson","doi":"10.1109/ICIAP.2001.957072","DOIUrl":"https://doi.org/10.1109/ICIAP.2001.957072","url":null,"abstract":"An algorithm for fully automatic segmentation of the cortex from T1-weighted axial or sagittal MRI data is presented. When analysing 3D MRI images of the brain it is often important to segment the brain from non-brain tissue such as eyes and membranes of the brain. The segmentation algorithm uses a histogram-based method to find accurate threshold values. Four initial masks are created; first two thresholded masks from the original volume, background and brain tissue, then a third mask thresholded from a 3D grey-level eroded version of the volume, brain tissue, and lastly a fourth mask thresholded from a 3D grey-level dilated version of the volume, containing surrounding fat. On the start slice of these masks, binary morphological operations and logical operations are used. Then the rest of the slices are segmented using information from the previous slice combined with the other masks. Information from earlier slices is propagated to keep the segmented volume from leaking into non-brain tissue.","PeriodicalId":365627,"journal":{"name":"Proceedings 11th International Conference on Image Analysis and Processing","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2001-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116150949","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: 10
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