S. Ordas, E. Oubel, R. Sebastián, Alejandro F Frangi
{"title":"Computational Anatomy Atlas of the Heart","authors":"S. Ordas, E. Oubel, R. Sebastián, Alejandro F Frangi","doi":"10.1109/ISPA.2007.4383715","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383715","url":null,"abstract":"A computational anatomy atlas of the heart has been built for the main purposes of patient-specific functional analysis and electromechanics simulations. The atlas is composed of an underlying statistical shape model, based on a point distribution model (PDM), which was constructed from a training set comprising 100 asymptomatic and pathologic subjects. A key advantage of the proposed building procedure is the needless of manual delineations. Another one is the use of multi-slice computed tomography (MSCT) images, which have an excellent spatial resolution. Both, inter-subject and temporal variability were captured with the inclusion of all available time frames of each 4-D (3-D + time) image. Embedded in the shape model, a number of functional structures and properties have been incorporated to the atlas, such as myocardial fiber orientation, specialized electrical conduction pathways in the ventricles and atria, a set of anatomical landmarks, and the coronary venous and arterial trees. While numerous potential improvements are planed for the future, the atlas is already workable for FEM-based simulations of ventricular electrophysiology and cardiac functional analysis.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"276 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115986351","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}
{"title":"Hierarchical Mesh Segmentation Using Waterfall and Dynamics","authors":"S. Delest, R. Boné, H. Cardot","doi":"10.1109/ISPA.2007.4383683","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383683","url":null,"abstract":"Mesh segmentation is a fundamental problem in computer graphics and has become an important component in many applications. This paper proposes a new hierarchical mesh segmentation method based on waterfall and dynamics. Watershed transformation allows segmenting the mesh in small patches and dynamics provide information about boundaries and merging possibilities. From region and boundary information, a hierarchical process based on waterfall is computed in order to build the merging tree. This tree contains all the schemes of segmentation and the user can easily browse the different levels of segmentation.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116438485","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}
{"title":"Application of Discrete Wavelet Transform (DWT) in Combustion Failure Detection of IC Engines","authors":"F. A. Shirazi, M. Mahjoob","doi":"10.1109/ISPA.2007.4383741","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383741","url":null,"abstract":"Fault detection of internal combustion engines has been started to develop more rapidly in recent years. Few works have been published on time-frequency analysis of IC engine vibration signals. These types of analysis are fully adapted to transient nature of IC engine signals and do not possess the drawbacks of traditional methods based on Fourier analysis. In this paper we used the vibration signals taken experimentally from a typical 4-cylinder IC engine. Ignition failures were introduced and their effects were investigated. Since the signals were noisy the time synchronous averaging (TSA) was used to extract the dominant transient behavior of the signals. After TSA, discrete wavelet transform (DWT) was employed to transfer the signal in time domain to the time-frequency domain. DWT holds significant properties which make it suitable for fault detection and diagnosis. The results showed that DWT decomposition in 4th approximation level is appropriate for fault detection. For this level and the higher levels, the trends of the signal variations were studied in different operating conditions of the engine, namely the healthy and faulty ones. The results are promising and reveal the effectiveness of the method. Comparison between our previous works and this new approach shows a simpler interpretation of DWT results over other time-frequency methods such as STFT and CWT. These facts demonstrate the possibility of using DWT for monitoring combustion failure of IC engines in addition to traditional applications such as diagnosis of rotating machineries.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114926982","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}
{"title":"Adaptive mesh simplification using distance to focus of attention for multiple points of view","authors":"S. Mata, L. Pastor, A. Rodríguez","doi":"10.1109/ISPA.2007.4383724","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383724","url":null,"abstract":"Multiresolution modelling has been widely accepted as a good approach in order to reach a compromise between quality and performance in the rendering of complex geometries. Adaptive simplification techniques that preserve visually outstanding features have also been explored. However, the presence of external factors, such as lights or movement, may also influence visual attention. The goal of this paper is to present a technique based on Distance Transforms that allows to classify the mesh's elements according to their proximity to the focus of attention, and to make use of this information for weighting the approximation error which will be tolerated during the mesh simplification process. The approach followed in this work precomputes the correspondence between image pixels and mesh's elements for a given set of points of view performing correspondence estimates for other points of view. The results achieved so far show the feasibility of the proposed approach.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130681132","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}
{"title":"Feature Extraction for Face Recognition using Recursive Bayesian Linear Discriminant","authors":"D. Huang, C. Xiang, S. S. Ge","doi":"10.1109/ISPA.2007.4383719","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383719","url":null,"abstract":"In this paper, we present two linear discriminant analysis algorithms (LDA), namely, recursive Bayesian linear discriminant I (or RBLD-I) and recursive Bayesian linear discriminant II (or RBLD-II), for the problem of face recognition. The favorable contribution of these two LDA algorithms is that they extract discriminative features with criterion functions directly based on minimum probability of classification error, or the Bayes error. The effectiveness of the two RBLD's are tested by application to two types of face recognition tasks: identity recognition and facial expression recognition. Experimental results show that the two RBLD's achieve superior classification performance over their fellow algorithm, recursive fisher linear discriminant (or RFLD), on Yale, ORL and Jaffe face databases.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124216989","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}
H. Moladoust, M. Mokhtari-Dizaji, F. Noohi, Z. Ojaghi-haghighi, A. Khajavi
{"title":"Assessment of the Regional Myocardial Displacement by a New Method Using Spectral Tissue Doppler in Compare with the Tissue Tracking","authors":"H. Moladoust, M. Mokhtari-Dizaji, F. Noohi, Z. Ojaghi-haghighi, A. Khajavi","doi":"10.1109/ISPA.2007.4383712","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383712","url":null,"abstract":"Tissue Doppler Echocardiography (TDE) method has been developed which permits quantification of the myocardial. In the clinic conventionally displacement is measured by use of color tissue Doppler imaging and there is no report of myocardial displacement based on integration of maximum myocardial velocity. The purpose of this study was a time integral assessment of spectral tissue Doppler by use of maximum traced data during systolic phase of cardiac cycle as a new method for evaluation of myocardium displacement. It performed by a developed computer program based on Simpson's numerical integral method. Spectral tissue Doppler echocardiograms were saved as a full color images and transferred to a personal computer for off-line analysis with use of the proposed method. There were significant differences at 95% confidence level between the spectral and color tissue Doppler displacements respectively. By means of Bland-Altman analysis; arithmetic means was 7.49 and 6.96 mm with SD mean differences of plusmn2.74 mm and plusmn2.26 mm in all base and mid evaluated segments. The correlation of coefficient was R=0.79, (p<0.01) for all segments between the methods.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129065325","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}
{"title":"Image Compression with Neural Networks Using Complexity Level of Images","authors":"H. Veisi, M. Jamzad","doi":"10.1109/ISPA.2007.4383706","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383706","url":null,"abstract":"This paper presents a complexity-based image compression method using neural networks. In this method, different multi-layer perceptron ANNs are used as compressor and de-compressor. Each image is divided into blocks, complexity of each block is computed using complexity measure methods and one network is selected for each block according to its complexity value. Three complexity measure methods, called entropy, activity and pattern-based are used to determine the level of complexity in image blocks and their ability are evaluated and compared together. Selection of a network for each image block is based on its complexity value or the Best-SNR criterion. Best-SNR chooses one of the trained networks such that it results best SNR in compressing a block of input image. In our evaluations, best results, with PSNR criterion, are obtained when overlapping of blocks is allowed and choosing the networks in compressor is based on the Best-SNR criterion. In this case, the results demonstrate superiority of our method comparing with previous similar works and that of JPEG standard coding.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116305527","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}
{"title":"The Use of Top-View Finger Image for Personal Identification","authors":"P. Chaikan, M. Karnjanadecha","doi":"10.1109/ISPA.2007.4383716","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383716","url":null,"abstract":"This paper describes a feasibility study for using a top-view finger image to increase the accuracy of fingerprint recognition without adding any new user operations. A CCD camera captures a top-view finger image while the user is touching a fingerprint sensor, and the acquired gray scale image is preprocessed to enhance the edges, the skin furrows, and the nail shape before the image is filtered by a bank of oriented-filters. A square tessellation is applied to the filtered image to create a feature map, called a NailCode. The NailCode is employed in the matching process by employing a Euclidean distance computation. The experiment reveals that personal identification accuracy using NailCode feature is 96.57%. It is recommended that NailCode is employed in conjunction with fingerprint for multimodal biometric [1] systems will increase the identification accuracy.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128138431","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}
{"title":"The Evaluation of Performances of Automatic Method for the Object Detection in GPR Images","authors":"M. Golovko","doi":"10.1109/ISPA.2007.4383740","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383740","url":null,"abstract":"The problem of automatic interpretation of GPR images containing several local objects has been considered. The method based on the Hough transform is used for object detection. The estimation of accuracy of the objects' coordinates determination and the evaluation of detection probability have been performed for the case of automatic interpretation of videopulse subsurface sounding results. The possibility of zero error for coordinate determination has been shown. The relations between object detection probability and false alarm probability are presented using the ROC curves.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126042076","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}
{"title":"Minimum MSE Filter Banks Design Using Correlated Signal Dependent Quantization Noise Model","authors":"A. Hjørungnes","doi":"10.1109/ISPA.2007.4383665","DOIUrl":"https://doi.org/10.1109/ISPA.2007.4383665","url":null,"abstract":"A theory is proposed for how to design minimum mean square error (MSE) filter banks for lossy source coding when uniform quantizers and ideal entropy coding are used to compress the subband signals. A signal-dependent correlation model is used to find the auto and cross correlation between the additive quantization noise within the same subband and across different subbands. This theory also shows how to find the cross correlation between the original time-series and the additive quantization noise. The simulation results show that the proposed way of designing the filter banks outperforms the minimum MSE performance results found by using the classical signal independent high-rate quantization noise model.","PeriodicalId":112420,"journal":{"name":"2007 5th International Symposium on Image and Signal Processing and Analysis","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124601866","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}