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2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)最新文献

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Some new results on assessment of Q-gram filter efficiency q -g过滤效率评价的一些新结果
2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-10-26 DOI: 10.1109/ISPA.2015.7306075
Andrej Novák, K. Križanović, Alen Lancic, M. Šikić
{"title":"Some new results on assessment of Q-gram filter efficiency","authors":"Andrej Novák, K. Križanović, Alen Lancic, M. Šikić","doi":"10.1109/ISPA.2015.7306075","DOIUrl":"https://doi.org/10.1109/ISPA.2015.7306075","url":null,"abstract":"We present some new results on expectation and threshold problem for Q-grams. We also introduce new exhaustive search algorithm based on sparse matrix to matrix multiplication for determining the threshold.","PeriodicalId":299846,"journal":{"name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126608834","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: 0
Orthogonal transform of SIFT descriptors and the effect on size and performance of Fisher Vectors in visual search SIFT描述子的正交变换及其对视觉搜索中Fisher向量大小和性能的影响
2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-10-26 DOI: 10.1109/ISPA.2015.7306029
Iris Heisterklaus, Gauravkumar Patel, Christopher Bulla
{"title":"Orthogonal transform of SIFT descriptors and the effect on size and performance of Fisher Vectors in visual search","authors":"Iris Heisterklaus, Gauravkumar Patel, Christopher Bulla","doi":"10.1109/ISPA.2015.7306029","DOIUrl":"https://doi.org/10.1109/ISPA.2015.7306029","url":null,"abstract":"Fisher Vectors have shown great capability for visual search. Their main drawback is their high dimensionality. We propose several methods to reduce the size of the Fisher Vectors by applying different preprocessing steps and dimension reduction techniques to SIFT descriptors. Also, we investigate the effects of PCA and DCT transforms employed on SIFT descriptors and the resulting improvement for an image retrieval application. We show that DCT transformed SIFT descriptors show superiority over other methods and that dimension reduction to 32 dimensions is possible as well as a reduction of number of clusters used for Fisher Vector generation without too much loss in the mean average precision.","PeriodicalId":299846,"journal":{"name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126905134","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: 0
Automated modeling of tubular blood vessels in 3D MR angiography images 在三维磁共振血管造影图像中的管状血管自动建模
2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-10-26 DOI: 10.1109/ISPA.2015.7306032
A. Materka, M. Kociński, J. Blumenfeld, A. Klepaczko, A. Deistung, Barthélémy Serres, J. Reichenbach
{"title":"Automated modeling of tubular blood vessels in 3D MR angiography images","authors":"A. Materka, M. Kociński, J. Blumenfeld, A. Klepaczko, A. Deistung, Barthélémy Serres, J. Reichenbach","doi":"10.1109/ISPA.2015.7306032","DOIUrl":"https://doi.org/10.1109/ISPA.2015.7306032","url":null,"abstract":"An algorithm is developed for automated modeling of tubular blood vessel segments, based on their noisy 3D raster image. The approach is based on continuous-function approximation of binary skeleton lines extracted from thresholded multiscale vesselness images. The continuous centerline functions allow robust computation of tangent vectors, to define normal planes and 3D image cross-sections on those planes. A vessel intensity profile model is next least-squares fitted to the image cross-section along straight lines segments - anchored at centerline and extended toward vessel walls, at a number of directions covering the full angle. Vessel parameters, such as local radius for circular vessels, distances between the centerline and edges for non-circular shapes or intensity profile corresponding to blood velocity distribution, are estimated through the model fitting. Subvoxel accuracy vessel representation, robustness to noise and image inhomogeneity are of primary concern. The algorithm is applied to 3D synthetic and real-life magnetic resonance images. It is demonstrated that the proposed method facilitates automated extraction of geometric vessel-tree models from images and outperforms the well-known Hessian vector approach in terms of accurate estimation of the centerline local direction in noisy images.","PeriodicalId":299846,"journal":{"name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"211 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115940187","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: 11
Training based cell detection from bright-field microscope images 基于训练的亮场显微镜图像细胞检测
2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-10-26 DOI: 10.1109/ISPA.2015.7306051
T. Tikkanen, P. Ruusuvuori, Leena Latonen, H. Huttunen
{"title":"Training based cell detection from bright-field microscope images","authors":"T. Tikkanen, P. Ruusuvuori, Leena Latonen, H. Huttunen","doi":"10.1109/ISPA.2015.7306051","DOIUrl":"https://doi.org/10.1109/ISPA.2015.7306051","url":null,"abstract":"This paper proposes a framework for cell detection from bright-field microscope images. The method is trained using manually annotated images, and it uses Support Vector Machine classifiers with Histogram of Oriented Gradient features. The performance of the method is evaluated using 16 training and 12 test images with altogether 10736 human prostate cancer cells. Both the implementation and the annotated image database are released for download. The experiments consider various parameters and their effect on performance, and reaches accurate detection results with cross-validated AUC over 0.98, and mean relative deviation of 9 % from manually counted annotations in the growth curve over six days.","PeriodicalId":299846,"journal":{"name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116795882","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
Real time video segmentation optimization with a modified Normalized Cut 实时视频分割优化与改进的规范化切割
2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-10-26 DOI: 10.1109/ISPA.2015.7306028
Martin Radolko, Fahimeh Farhadifard, E. Gutzeit, U. V. Lukas
{"title":"Real time video segmentation optimization with a modified Normalized Cut","authors":"Martin Radolko, Fahimeh Farhadifard, E. Gutzeit, U. V. Lukas","doi":"10.1109/ISPA.2015.7306028","DOIUrl":"https://doi.org/10.1109/ISPA.2015.7306028","url":null,"abstract":"The low-level task of foreground-background segregation is an important foundation for many high-level computer vision tasks and has been intensively researched in the past. Nonetheless, unregulated environments usually impose challenging problems and often particular difficulties arise from real time requirements. In this paper we propose a new energy function to evaluate the spatial relations in a segmentation. It is based on the Normalized Cut but adapted these principles to the usage of videos instead of single images. This makes it possible to get a comparable spatial-accuracy as in state of the art approaches (e.g. Markov Random Fields). However, the optimized hierarchical local minimization process for our energy function is at least two orders of magnitude faster. In combination with an efficient Background Subtraction this results in an accurate real time video segmentation algorithm even for high definition videos.","PeriodicalId":299846,"journal":{"name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117142304","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
Semi-automatic three-dimensional vessel segmentation using a connected component localization of the Region-Scalable Fitting Energy 基于区域可扩展拟合能量的连通部件定位的半自动三维血管分割
2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-10-26 DOI: 10.1109/ISPA.2015.7306035
M. Fedele, E. Faggiano, L. Barbarotta, Francesco Cremonesi, L. Formaggia, S. Perotto
{"title":"Semi-automatic three-dimensional vessel segmentation using a connected component localization of the Region-Scalable Fitting Energy","authors":"M. Fedele, E. Faggiano, L. Barbarotta, Francesco Cremonesi, L. Formaggia, S. Perotto","doi":"10.1109/ISPA.2015.7306035","DOIUrl":"https://doi.org/10.1109/ISPA.2015.7306035","url":null,"abstract":"Segmentation of patient-specific vascular segments of interest from medical images is an important topic for numerous applications. Despite the great importance of having semi-automatic segmentation methods in this field, the process of image segmentation is still based on several operator-dependent steps which make large-scale segmentation a non trivial and time consuming task. In this work we present a semi-automatic segmentation method to reconstruct vascular structures from three-dimensional medical images. We start from the minimization of the Region Scalable Fitting Energy using the Split-Bregman method and we modify the resulting algorithm adding a connected component extraction of the solution starting from a point that identifies the vascular structure of interest. In this way, we add a constraint to the algorithm focusing it only on the vascular structure we want to reconstruct and avoiding the attachment with the nearby objects. Finally, we describe a strategy to minimize the number of involved parameters in order to limit the user effort. The results obtained on two different images (a Magnetic Resonance and a Computed Tomography) demonstrate that our method outperforms the original method in segmenting the vascular region of interest without the inclusion of nearby objects in the result.","PeriodicalId":299846,"journal":{"name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124391581","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
Removing achromatic reflections from color images with application to artwork imaging 去除彩色图像中的消色差反射，并应用于艺术品成像
2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-10-26 DOI: 10.1109/ISPA.2015.7306045
L. Bedini, P. Savino, A. Tonazzini
{"title":"Removing achromatic reflections from color images with application to artwork imaging","authors":"L. Bedini, P. Savino, A. Tonazzini","doi":"10.1109/ISPA.2015.7306045","DOIUrl":"https://doi.org/10.1109/ISPA.2015.7306045","url":null,"abstract":"We propose a general approach to remove reflections from a color image acquired through a semi-transparent medium, and show its application to the restoration of images of paintings framed behind glass and manuscripts laminated for conservation purposes, affected by the reflection of a light source. The problem is modeled by assuming that the unwanted reflection is an achromatic or monochromatic image that combines additively with the real transmitted image of the object of interest. In the absence of information about the mixing coefficients, we adopted a blind source separation technique that exploits the dependence of the three color channels of the original image, and the independence of the reflected image. In particular, these constraints are forced on the image gradients rather than on the intensity images. The algorithm is constituted of a step for the estimation, via independent component analysis of the model parameters, followed by a regularization technique to estimate the component images. The algorithm is very fast and provides promising results.","PeriodicalId":299846,"journal":{"name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124467309","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
Time-frequency blood flow parameters estimation for micro-emboli detection 微栓子检测的时频血流参数估计
2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-10-26 DOI: 10.1109/ISPA.2015.7306034
Blaise Kévin Guépié, B. Sciolla, F. Millioz, Romain Ramassamy, Emilie Pinatel, Marilys Almar, B. Guibert, P. Delachartre
{"title":"Time-frequency blood flow parameters estimation for micro-emboli detection","authors":"Blaise Kévin Guépié, B. Sciolla, F. Millioz, Romain Ramassamy, Emilie Pinatel, Marilys Almar, B. Guibert, P. Delachartre","doi":"10.1109/ISPA.2015.7306034","DOIUrl":"https://doi.org/10.1109/ISPA.2015.7306034","url":null,"abstract":"Detecting micro-emboli in the middle cerebral artery is a major challenge because these micro-emboli are related to the risk of stroke (cerebrovascular accident). Because micro-emboli are defined as High Intensity Transient Signals (HITS), their detection require the estimation of the blood flow background signal; i.e, the reference from which HITS have to be detected. In this paper, we propose an original micro-emboli detection procedure composed of two steps. Firstly, the background noise is isolated from the blood flow time-frequency image thanks to the log-likelihood segmentation method. Secondly, a HITS detection threshold is calculated from a blood flow statistic using the spectral kurtosis approach. Our procedure is used on the transcranial Doppler data from two patients and the results show that the mean percentage error of the velocity envelope estimation is reduced from 5% to 3% and the micro-emboli detection probability is 84% while only 49 artifacts are detected.","PeriodicalId":299846,"journal":{"name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124379901","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
Sensing road roughness via mobile devices: A study on speed influence 通过移动设备感知道路粗糙度:速度影响的研究
2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-10-26 DOI: 10.1109/ISPA.2015.7306071
Giacomo Alessandroni, A. Carini, E. Lattanzi, A. Bogliolo
{"title":"Sensing road roughness via mobile devices: A study on speed influence","authors":"Giacomo Alessandroni, A. Carini, E. Lattanzi, A. Bogliolo","doi":"10.1109/ISPA.2015.7306071","DOIUrl":"https://doi.org/10.1109/ISPA.2015.7306071","url":null,"abstract":"This work is part of a project, SmartRoadSense, aimed to estimate the quality of the road surface exploiting the sensors of a mobile device anchored to the car cabin. Using the data of the triaxial accelerometer and the vehicle speed provided by GPS system, it has been shown that an estimate of the quality of road surface can be obtained. In order to improve this estimate, the paper studies the dependence of the mobile device vertical acceleration on the vehicle speed. Using a theoretical model and experimental results, it is shown how the average power of the vertical acceleration and the road roughness index estimated by SmartRoadSense are related to speed.","PeriodicalId":299846,"journal":{"name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117016098","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
Estimation of albedo of exoplanets from a set of composite (star + planet) spectra 从一组复合(恒星+行星)光谱估计系外行星的反照率
2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA) Pub Date : 2015-10-26 DOI: 10.1109/ISPA.2015.7306073
Sergio Carrato, C. Morossi, M. Franchini, P. D. Marcantonio, A. Pala
{"title":"Estimation of albedo of exoplanets from a set of composite (star + planet) spectra","authors":"Sergio Carrato, C. Morossi, M. Franchini, P. D. Marcantonio, A. Pala","doi":"10.1109/ISPA.2015.7306073","DOIUrl":"https://doi.org/10.1109/ISPA.2015.7306073","url":null,"abstract":"The knowledge of the albedo of an exoplanet can be a very good source of information about its physical and chemical characteristics; however, it is normally very difficult to separate the planet albedo from the star spectrum, as the amplitude of the planet spectrum is much lower than that of its star, and the two spectra are acquired together, as it is not possible to spatially separate them. Here we present an algorithm for the estimation of the planet albedo, which exploits the amplitude modulation of the planet spectrum during its orbit around the star and works also if no eclipses are present. Results are presented using simulated spectra of the CoRoT-1 b system.","PeriodicalId":299846,"journal":{"name":"2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA)","volume":"209 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115624674","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: 0
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