Pub Date : 2013-10-01DOI: 10.1109/ICSIPA.2013.6708007
Arif Sameh Arif, R. Logeswaran, Sarina Mansor, Hezerul Abdul Karim
Enormous amounts of sequential medical images are produced in modern medical examinations, typically in Fluoroscopy. Although highly effective, such large quantities of images incur a high cost in terms of storage, processing time and transmission. This paper proposes a method for lossless compression of targeted parts within Fluoroscopy images, extracting the region of interest (ROI) - in this case the pharynx and esophagus, and employing customized correlation and the combination of Run Length and Huffman coding, to increase compression efficiency. The experimental results show that the proposed method improved performance with a compression ratio of 300% better than conventional methods.
{"title":"Segmentation and compression of pharynx and esophagus fluoroscopic images","authors":"Arif Sameh Arif, R. Logeswaran, Sarina Mansor, Hezerul Abdul Karim","doi":"10.1109/ICSIPA.2013.6708007","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6708007","url":null,"abstract":"Enormous amounts of sequential medical images are produced in modern medical examinations, typically in Fluoroscopy. Although highly effective, such large quantities of images incur a high cost in terms of storage, processing time and transmission. This paper proposes a method for lossless compression of targeted parts within Fluoroscopy images, extracting the region of interest (ROI) - in this case the pharynx and esophagus, and employing customized correlation and the combination of Run Length and Huffman coding, to increase compression efficiency. The experimental results show that the proposed method improved performance with a compression ratio of 300% better than conventional methods.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125662817","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 : 2013-10-01DOI: 10.1109/ICSIPA.2013.6708040
Housam Khalifa Bashier, L. S. Hoe, Pang Ying Han, L. Ping
Face recognitions systems suffer from the problem associated with illumination variation. Therefore, there's a need to address this problem. In this paper, we present a novel algorithm for illumination normalization call Local Trapezoid Feature LTF. The features are derived from the trapezoid rule and the experiments results on extended Yale face database demonstrated the effectiveness and the superiority of the algorithm. Furthermore, our algorithm doesn't require dimensionality reduction or feature extraction.
{"title":"A novel illumination normalization algorithm for face recognition","authors":"Housam Khalifa Bashier, L. S. Hoe, Pang Ying Han, L. Ping","doi":"10.1109/ICSIPA.2013.6708040","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6708040","url":null,"abstract":"Face recognitions systems suffer from the problem associated with illumination variation. Therefore, there's a need to address this problem. In this paper, we present a novel algorithm for illumination normalization call Local Trapezoid Feature LTF. The features are derived from the trapezoid rule and the experiments results on extended Yale face database demonstrated the effectiveness and the superiority of the algorithm. Furthermore, our algorithm doesn't require dimensionality reduction or feature extraction.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124081729","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 : 2013-10-01DOI: 10.1109/ICSIPA.2013.6707987
C. Sinkaram, V. Asirvadam, N. M. Nor
This paper presents a preliminary simulation study of Lithium-ion batteries. The dynamic model of Li-ion batteries was created and the model was validated with previous results for different temperatures. It found that the developed model produce the results acquired with previous results. The Li-ion battery characteristics were simulated as voltage profiles for two different condition of initial State of Charge (SOC) and for two different values of temperature. The usable operating time and the battery were found to vary with SOC initial and temperature. It is also found that the usable run time of the battery increases with increase in SOC initial and decrease in temperature. The Li-ion discharge battery model was simulated for the Hybrid electrical Vehicle (HEV). The simulation results give a framework of a nonlinear dynamic performance of the Li-ion battery pack for the electrical scooter.
{"title":"Capacity study of lithium ion battery for hybrid electrical vehicle (HEV) a simulation approach","authors":"C. Sinkaram, V. Asirvadam, N. M. Nor","doi":"10.1109/ICSIPA.2013.6707987","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6707987","url":null,"abstract":"This paper presents a preliminary simulation study of Lithium-ion batteries. The dynamic model of Li-ion batteries was created and the model was validated with previous results for different temperatures. It found that the developed model produce the results acquired with previous results. The Li-ion battery characteristics were simulated as voltage profiles for two different condition of initial State of Charge (SOC) and for two different values of temperature. The usable operating time and the battery were found to vary with SOC initial and temperature. It is also found that the usable run time of the battery increases with increase in SOC initial and decrease in temperature. The Li-ion discharge battery model was simulated for the Hybrid electrical Vehicle (HEV). The simulation results give a framework of a nonlinear dynamic performance of the Li-ion battery pack for the electrical scooter.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129203533","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 : 2013-10-01DOI: 10.1109/ICSIPA.2013.6708044
W. Lu, Bangning Zhang
A new approach is proposed for single channel blind signal separation(SCBSS) problem of communication signal and time-varying amplitude LFM interference based on Metropolis-Hastings mutation particle swarm optimized particle filtering (MHMPSOPF). The proposed algorithm aims to obtain the maximum a posterior (MAP) estimate of communication code and the unknown parameters using particle filtering by establishing the state space model for the interfered signal, Specially, in order to overcome the sample impoverishment problem, particle swarm optimized is introduced to the re-sampling process in particle filtering(PF). In such a way, the number of needed particles is reduced and the variety of particles is retained during the sequential estimation process, moreover, the proposed algorithm has superior performance under time-varying amplitude LFM interference. Simulation results show that the method is effective to separate communication signal and interference when the ISR is less than 20dB and SNR is more than 14dB.
{"title":"Single channel time-varying amplitude LFM interference blind separation using MHMPSO particle filtering","authors":"W. Lu, Bangning Zhang","doi":"10.1109/ICSIPA.2013.6708044","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6708044","url":null,"abstract":"A new approach is proposed for single channel blind signal separation(SCBSS) problem of communication signal and time-varying amplitude LFM interference based on Metropolis-Hastings mutation particle swarm optimized particle filtering (MHMPSOPF). The proposed algorithm aims to obtain the maximum a posterior (MAP) estimate of communication code and the unknown parameters using particle filtering by establishing the state space model for the interfered signal, Specially, in order to overcome the sample impoverishment problem, particle swarm optimized is introduced to the re-sampling process in particle filtering(PF). In such a way, the number of needed particles is reduced and the variety of particles is retained during the sequential estimation process, moreover, the proposed algorithm has superior performance under time-varying amplitude LFM interference. Simulation results show that the method is effective to separate communication signal and interference when the ISR is less than 20dB and SNR is more than 14dB.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129207943","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 : 2013-10-01DOI: 10.1109/ICSIPA.2013.6707964
B. Vo
Summary form only given. A multi-object system is a generalisation of the standard state space system to one with a randomly varying set of states. An example of such a system is the collection of mobile sensors monitoring an unknown and time varying number of targets in a surveillance region. A biological example is a swarm of insects moving about performing a certain set of tasks. Indeed most systems in nature are multi-object systems. Traditionally driven by applications in radar and sonar, today, multi-object system has found applications in many diverse disciplines, including oceanography, autonomous vehicles, and biomedical research. This talk provides an introduction to the theory of multi-object system and describes of some of the recent developments in the filed together with applications.
{"title":"Keynote speaker II: Multi-object systems and their applications","authors":"B. Vo","doi":"10.1109/ICSIPA.2013.6707964","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6707964","url":null,"abstract":"Summary form only given. A multi-object system is a generalisation of the standard state space system to one with a randomly varying set of states. An example of such a system is the collection of mobile sensors monitoring an unknown and time varying number of targets in a surveillance region. A biological example is a swarm of insects moving about performing a certain set of tasks. Indeed most systems in nature are multi-object systems. Traditionally driven by applications in radar and sonar, today, multi-object system has found applications in many diverse disciplines, including oceanography, autonomous vehicles, and biomedical research. This talk provides an introduction to the theory of multi-object system and describes of some of the recent developments in the filed together with applications.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122217862","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 : 2013-10-01DOI: 10.1109/ICSIPA.2013.6708012
Madjid Maidi, M. Preda, M. Dailey, Sirisilp Kongsilp
This paper presents a natural feature tracking system for object recognition in real-life environments. The system is based on a local keypoint descriptor method optimized and adapted to extract salient regions within the image. Each object in the gallery is characterized by keypoints and corresponding local descriptors. The method first identifies gallery object features in new images using nearest neighbor classification. It then estimates camera pose and augments the image with registered synthetic graphics. We describe the optimizations necessary to enable real-time performance on a mobile tablet. An experimental evaluation of the system in real environments demonstrates that the method is accurate and robust.
{"title":"Natural feature tracking on a mobile handheld Tablet","authors":"Madjid Maidi, M. Preda, M. Dailey, Sirisilp Kongsilp","doi":"10.1109/ICSIPA.2013.6708012","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6708012","url":null,"abstract":"This paper presents a natural feature tracking system for object recognition in real-life environments. The system is based on a local keypoint descriptor method optimized and adapted to extract salient regions within the image. Each object in the gallery is characterized by keypoints and corresponding local descriptors. The method first identifies gallery object features in new images using nearest neighbor classification. It then estimates camera pose and augments the image with registered synthetic graphics. We describe the optimizations necessary to enable real-time performance on a mobile tablet. An experimental evaluation of the system in real environments demonstrates that the method is accurate and robust.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134278836","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 : 2013-10-01DOI: 10.1109/ICSIPA.2013.6707959
R. Logeswaran
Selamat Datang (Welcome!) to the 2013 IEEE International Conference on Signal and Image Processing Applications or more fondly known as IEEE ICSIPA 2013. As the 3rd in the series, this flagship conference of the IEEE Signal Processing Society (Malaysia) (awarded Best Signal Processing Chapter 2011) has a good reputation for quality and a forum for valuable exchange of knowledge. It gains participation of esteemed researchers from both the local and international arena. This year, 169 papers were submitted by authors from various countries, with the majority being international authors. Of these, about 48% the papers were accepted and are to be presented at the conference.
{"title":"Foreword from general chair: “Technical knowledge sharing in signal processing with a historic backdrop”","authors":"R. Logeswaran","doi":"10.1109/ICSIPA.2013.6707959","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6707959","url":null,"abstract":"Selamat Datang (Welcome!) to the 2013 IEEE International Conference on Signal and Image Processing Applications or more fondly known as IEEE ICSIPA 2013. As the 3rd in the series, this flagship conference of the IEEE Signal Processing Society (Malaysia) (awarded Best Signal Processing Chapter 2011) has a good reputation for quality and a forum for valuable exchange of knowledge. It gains participation of esteemed researchers from both the local and international arena. This year, 169 papers were submitted by authors from various countries, with the majority being international authors. Of these, about 48% the papers were accepted and are to be presented at the conference.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"517 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133336381","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 : 2013-10-01DOI: 10.1109/ICSIPA.2013.6708028
K. Kadir, Hao Gao, A. Payne, J. Soraghan, C. Berry
Evaluating salvageable myocardial after myocardial infarction (MI) is an important prognosis in the follow up study of MI. Since the extent of myocardial edema delineates the ischemic area-at-risk (AAR) after MI the AAR can be used to estimate the amount of salvageable myocardial post-MI and therefore has potential clinical utility in the management of acute MI patients. Two methods for the segmentation and quantification of edema from T2 weighted MRI data have been presented. The methods presented in this paper are Two Statistical Mixture Model and Fuzzy C-means. Quantitative evaluations of segmentation accuracy for the two algorithms were performed by comparing to manual segmentation on real T2 weighted CMR data collected from Golden Jubilee National Hospital, Glasgow for 16 adult subjects.
{"title":"Two Statistical Mixture Model vs. Fuzzy C-Means: In the application of edema segmentation","authors":"K. Kadir, Hao Gao, A. Payne, J. Soraghan, C. Berry","doi":"10.1109/ICSIPA.2013.6708028","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6708028","url":null,"abstract":"Evaluating salvageable myocardial after myocardial infarction (MI) is an important prognosis in the follow up study of MI. Since the extent of myocardial edema delineates the ischemic area-at-risk (AAR) after MI the AAR can be used to estimate the amount of salvageable myocardial post-MI and therefore has potential clinical utility in the management of acute MI patients. Two methods for the segmentation and quantification of edema from T2 weighted MRI data have been presented. The methods presented in this paper are Two Statistical Mixture Model and Fuzzy C-means. Quantitative evaluations of segmentation accuracy for the two algorithms were performed by comparing to manual segmentation on real T2 weighted CMR data collected from Golden Jubilee National Hospital, Glasgow for 16 adult subjects.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133435111","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 : 2013-10-01DOI: 10.1109/ICSIPA.2013.6707988
V. K. Pamula, S. R. Vempati, H. Khan, A. K. Tipparti
This paper presents the performance analysis of three linear diversity combining schemes in terms of outage probability (OP), level crossing rate (LCR) and average outage duration (AOD) over Nakagami-0.5 fading channels. Closed-form expressions for OP, LCR and AOD are derived for selection combining (SC), equal gain combining (EGC) and maximal-ratio combining (MRC) receive diversity schemes. The expressions derived are numerically evaluated to study the effect of diversity order and exponentially decaying multipath intensity profile (MIP) on the system performance.
{"title":"Performance analysis of linear diversity combining schemes on Nakagami-0.5 fading channels","authors":"V. K. Pamula, S. R. Vempati, H. Khan, A. K. Tipparti","doi":"10.1109/ICSIPA.2013.6707988","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6707988","url":null,"abstract":"This paper presents the performance analysis of three linear diversity combining schemes in terms of outage probability (OP), level crossing rate (LCR) and average outage duration (AOD) over Nakagami-0.5 fading channels. Closed-form expressions for OP, LCR and AOD are derived for selection combining (SC), equal gain combining (EGC) and maximal-ratio combining (MRC) receive diversity schemes. The expressions derived are numerically evaluated to study the effect of diversity order and exponentially decaying multipath intensity profile (MIP) on the system performance.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123976918","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 : 2013-10-01DOI: 10.1109/ICSIPA.2013.6707994
Y. F. A. Gaus, F. Wong, K. Teo, R. Chin, R. R. Porle, L. P. Yi, A. Chekima
This paper presents a method of gesture recognition using Hidden Markov Model (HMM). Gesture itself is based on the movement of each right hand (RH) and left hand (LH), which represents the word intended by the signer. The feature vector selected, gesture path, hand distance and hand orientations are obtained from RH and LH then trained using HMM to produce the respective gesture class. While training, in handling HMM state, we introduce fixed state and variable state, where in fixed state, the numbers of state is generally fixed for all gestures and while the number of state in variable state is determined by the movement of the gesture. It was found that fixed state gave the highest rate of recognition achieving 83.1%.
{"title":"Comparison study of Hidden Markov Model gesture recognition using fixed state and variable state","authors":"Y. F. A. Gaus, F. Wong, K. Teo, R. Chin, R. R. Porle, L. P. Yi, A. Chekima","doi":"10.1109/ICSIPA.2013.6707994","DOIUrl":"https://doi.org/10.1109/ICSIPA.2013.6707994","url":null,"abstract":"This paper presents a method of gesture recognition using Hidden Markov Model (HMM). Gesture itself is based on the movement of each right hand (RH) and left hand (LH), which represents the word intended by the signer. The feature vector selected, gesture path, hand distance and hand orientations are obtained from RH and LH then trained using HMM to produce the respective gesture class. While training, in handling HMM state, we introduce fixed state and variable state, where in fixed state, the numbers of state is generally fixed for all gestures and while the number of state in variable state is determined by the movement of the gesture. It was found that fixed state gave the highest rate of recognition achieving 83.1%.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126080595","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}
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