{"title":"An alternative approach for medical image segmentation","authors":"F. Deniz, B. Alagoz, M. Tagluk","doi":"10.1109/SIU.2010.5653146","DOIUrl":"https://doi.org/10.1109/SIU.2010.5653146","url":null,"abstract":"In this study a segmentation algorithm controlled by a dissimilarity function composed of a few criterion for segmentation of medical images, starting from a seed point and growing toward the boundary of the considered anatomical tissue, is proposed. It has been shown that the algorithm can be controlled to overcome the complications such as noise, variations in the pixel values and weak connectivity encountered on the targeted anatomical region in the medical image.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"33 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131539864","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":"Low pass filter cutoff frequency analysis and a new centroid method for the rosette scan seeker","authors":"Seckin Ozsarac, Murat Akgul","doi":"10.1109/SIU.2010.5653384","DOIUrl":"https://doi.org/10.1109/SIU.2010.5653384","url":null,"abstract":"Rosette scan seekers transform the infrared radiation of the targets that are in the field of view into modulation signal in the detector by rosette scanning. It obtains the spatial coordinates of the targets by using the time values of the pulses in the modulation signal. It uses a low pass filter in the processor of the seeker in order to filter the noise in the modulation signal. However, low pass filter may cause the loss of some information regarding the targets in the modulated signal depending on its cutoff frequency. To prevent possible information loss, a lower limit analysis of the cutoff frequency of the low pass filter is made using the rosette pattern parameters. Moreover, analysis of the centroid methods used in the clustering algorithms that run after obtaining the spatial locations of the target is made. A novel centroid method is proposed, which has results approximately 2 times better than the methods in the literature.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128331325","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":"Eigenvectors of the DFT and discrete fractional fourier transform based on the bilinear transform","authors":"A. Serbes, L. D. Ata","doi":"10.1109/SIU.2010.5650245","DOIUrl":"https://doi.org/10.1109/SIU.2010.5650245","url":null,"abstract":"Orthonormal eigenvectors of the DFT matrix, which is closer to the samples of Hermite-Gaussian functions, are crucial to define the discrete fractional Fourier transform. In this work we determine the eigenvectors of the DFT matrix inspired by the bilinear transform. The bilinear transform maps the analog space to the discrete sample and it maps jw in the analog s-domain to the unit circle in the discrete z-domain one-to-one without aliasing, it is appropriate to use in the discretization of the eigenfunctions of the Fourier transform. We obtain Hermite-Gaussian like eigenvectors of the DFT matrix and confirm the results with extensive simulations.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131968925","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":"Blind turbo equalization with EM algorithm and DPSK modulation","authors":"S. Yakut, C. Vural","doi":"10.1109/SIU.2010.5650296","DOIUrl":"https://doi.org/10.1109/SIU.2010.5650296","url":null,"abstract":"In digital communication systems, joint equalization and decoding at the receiver is called turbo equalization. Turbo equalization in case of unknown channel is known as blind turbo equalization. In this study, a new blind turbo equalization method is developed for digital communication systems using DPSK modulation. The reason for choosing DPSK is to remove phase ambiguity. Expectation-maximization (EM) algorithm is used to estimate the unknown channel. Differential decoding is not done alone at the receiver. Instead of this, super-trellis structure made up of differential encoder and ISI channel is exploited for resolving the problem of phase ambiguity. Performance of the proposed method is tested via computer simulations.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134326669","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":"Particle Swarm Optimization based Piecewise Linear Approximation of nonlinear functions","authors":"O. T. Altinoz, H. Erdem","doi":"10.1109/SIU.2010.5650271","DOIUrl":"https://doi.org/10.1109/SIU.2010.5650271","url":null,"abstract":"Piecewise Linear Approximation (PLA) method is widely used for linearization of nonlinear functions. Various optimization algorithms can be used to find out the number of linear segments and their breakpoints. This study proposes to provide these parameters by using Particle Swarm Optimization (PSO). PLA is widely used for implementation of nonlinear activation function of Artificial Neural Networks (ANN). Thus, linearization of the tangent sigmoid function which is used in neural networks is proposed. After Linearization, Linearized activation function can be implemented on low cost processors.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132183833","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":"Negatif olmayan matris ayrıştirma ile ikili video kiyimlama binary video hashing by non-negative matrix factorization","authors":"O. Gursoy, Sezer Kutluk, B. Gunsel, N. Sengor","doi":"10.1109/SIU.2010.5651268","DOIUrl":"https://doi.org/10.1109/SIU.2010.5651268","url":null,"abstract":"This paper presents the video fingerprinting method proposed to TRECVID Content Based Copy Detection task by ITU MSPR Group. The proposed system consists of two modules: video fingerprint extraction and search-retrieval. Fingerprint extraction module performs a binary hashing scheme to generate the video fingerprints by using the mixing and encoding matrices obtained by non-negative matrix factorization (NMF) which is commonly used in dimension reduction. Search and retrieval module first applies a hash matching procedure to locate potential matching points. It is followed by temporal merging that eliminates false alarms while combining subsegments. Test results obtained on TRECVID video sequences illustrate that the proposed fingerprinting method is highly robust to insertion of pattern, blurring, change of gamma and noise addition attacks. We are currently working on to improve the robustness to geometric transformations such as shift, crop, flip andpicture-in-picture.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123923215","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":"Effect of channel blocking on spike propagation in myelinated axons","authors":"Rukiye Uzun, M. Ozer","doi":"10.1109/SIU.2010.5652993","DOIUrl":"https://doi.org/10.1109/SIU.2010.5652993","url":null,"abstract":"Voltage-gated ion channels embedded in neuronal membranes are of great importance in the generation and propagation of electrical signals in the excitable membranes. These channels fluctuate randomly between open and closed states. Blockage of a given channel type is crucial to understand the impact of specific ion channel type on the neuronal dynamics for a given cell size. In this study, the impact of channel blocking on the spike propagation through myelinated axons is examined by using a compartmental stochastic axon model. Potassium channel blocking increases the transmission reliability while sodium channel blocking decreases it. On the other hand, potassium channel blocking decreases the thresold value for the electrical coupling between the nodes of Ranvier while sodium channel blocking increases it. Results also show that an increase in transmission reliability results in the increase in the spike train regularity.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124563872","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}
Zeynep Yucel, A. A. Salah, Çetin Meriçli, Tekin Meriçli
{"title":"Derivation of gaze direction from head pose estimates","authors":"Zeynep Yucel, A. A. Salah, Çetin Meriçli, Tekin Meriçli","doi":"10.1109/SIU.2010.5652736","DOIUrl":"https://doi.org/10.1109/SIU.2010.5652736","url":null,"abstract":"Automatic estimation of gaze direction information is important for certain applications of human-robot and human-computer interaction. Depending on the properties of the specific application, it may be required to derive this information in real time from low resolution visual inputs, with as much precision as possible. In this paper we present an algorithm for transforming head pose estimates to gaze direction estimates. The main contribution of this study lies in the fact that it makes a clear distinction between head pose and gaze direction. Unlike some of the previous works in this field, we do not correct the head pose to correspond to a possible attention fixation point in accordance with the experiment scenario. Instead we propose using a concrete and environment-independent method for this purpose. To transform the head pose estimates into gaze direction, a Gaussian process regression model is proposed and the reasons validating this choice are discussed in detail.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127933832","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":"3-D Face modeling and local deformations","authors":"Ersin Ozuag, M. K. Gullu, O. Urhan, S. Erturk","doi":"10.1109/SIU.2010.5652700","DOIUrl":"https://doi.org/10.1109/SIU.2010.5652700","url":null,"abstract":"In this work, 3-D deformable face models are obtained at a computer by making use of a DLP projector and a high resolution camera. The system calibration is carried out using a calibration pattern image. A colored structured light is projected to face to obtain depth information. Experiments show that high resolution depth information can be extracted with this approach. Furthermore, a graphical user interface (GUI) is designed to enable user controlled modifications of the 3-D model.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128972211","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":"Performance of cell averaging constant false alarm rate (CA-CFAR) processors for M-correlated sweeps in multiple target environments","authors":"Elvan Sahin, M. Uner","doi":"10.1109/SIU.2010.5652198","DOIUrl":"https://doi.org/10.1109/SIU.2010.5652198","url":null,"abstract":"In this paper, the detection performance of CA-CFAR processor is analysed for M-correlated sweeps in Gaussian clutter environment which contains interfering targets. The performance analyses are done for different number of sweeps, M, and sweep-to-sweep correlation coefficient, R, with Swerling-I target model in homogeneous and non-homogeneous environments.","PeriodicalId":152297,"journal":{"name":"2010 IEEE 18th Signal Processing and Communications Applications Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129229476","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}