Pub Date : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670580
G. Padmavathi, D. Shanmugapriya, M. Kalaivani
Acoustic communication has been widely used in wireless sensor networks. Vehicle acoustic signals have long been considered as unwanted traffic noise. In this research acoustic signals generated by each vehicle will be used to detect its presence and classify the type. The goal of multiscale PCA (MSPCA) is to reconstruct a simplified multivariate signal, starting from a multivariate signal and using a simple representation at each resolution level. Multiscale principal components analysis generalizes the PCA of a multivariate signal represented as a matrix by simultaneously performing a PCA on the matrices of details at different levels. By selecting the numbers of retained principal components, simplified signals can be reconstructed. These simplified signals are used for extracting the features. Six different features of the vehicle acoustic signals are calculated for the pre-processed acoustic vehicle signals and then further utilized as input to the classification system. These features include Signal Energy, Energy Entropy, Zero-Crossing Rate, Spectral Roll-Off, Spectral Centroid and Spectral Flux. Acoustic signal classification consists of extracting the features from a sound, and of using these features to identify classes the sound is liable to fit. Neural network approaches used here are KNN, PNN and BPN and these three approaches are combined with the MSPCA to obtain better accuracy.
{"title":"Neural network approaches and MSPCA in vehicle acoustic signal classification using wireless sensor networks","authors":"G. Padmavathi, D. Shanmugapriya, M. Kalaivani","doi":"10.1109/ICCCCT.2010.5670580","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670580","url":null,"abstract":"Acoustic communication has been widely used in wireless sensor networks. Vehicle acoustic signals have long been considered as unwanted traffic noise. In this research acoustic signals generated by each vehicle will be used to detect its presence and classify the type. The goal of multiscale PCA (MSPCA) is to reconstruct a simplified multivariate signal, starting from a multivariate signal and using a simple representation at each resolution level. Multiscale principal components analysis generalizes the PCA of a multivariate signal represented as a matrix by simultaneously performing a PCA on the matrices of details at different levels. By selecting the numbers of retained principal components, simplified signals can be reconstructed. These simplified signals are used for extracting the features. Six different features of the vehicle acoustic signals are calculated for the pre-processed acoustic vehicle signals and then further utilized as input to the classification system. These features include Signal Energy, Energy Entropy, Zero-Crossing Rate, Spectral Roll-Off, Spectral Centroid and Spectral Flux. Acoustic signal classification consists of extracting the features from a sound, and of using these features to identify classes the sound is liable to fit. Neural network approaches used here are KNN, PNN and BPN and these three approaches are combined with the MSPCA to obtain better accuracy.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132585964","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670738
R. Santhosh, R. Shankar, J. Silvester Noel Vivek, R. Reuben Jebakumar
This paper is to explain about the picture in picture technology that is used innovatively for automated wireless home security. The present home security system needs an LCD screen that is located somewhere inside the home to view the camera video. At some point of time, consider the time when you are watching a very interesting program in the television, may be the last over of a T-20 match or the final minutes of a soccer match, your mind won't allow you to think of anything else than the ongoing match. At this circumstance, when anyone rings your door bell, naturally you won't mind that, whoever the guest may be. At another instance, if you are tired of attending unwelcomed guests n times, chances are there to neglect the guest at the n+1th time more consciously. If the guest at the door is an opportunity, it would be evidently missed. Our innovation to conquer this problem is, the video of the person standing at the door is made appeared at the television screen not by replacing the existing cable signal but as a pop up screen which covers a small portion of the TV screen. So, by noticing the pop up, one can decide which is vital - either the TV program or the guest. This pop up disappears automatically after a certain point of time when the guest leaves.
{"title":"A method to attain PIP in the TV screen for automated wireless home security","authors":"R. Santhosh, R. Shankar, J. Silvester Noel Vivek, R. Reuben Jebakumar","doi":"10.1109/ICCCCT.2010.5670738","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670738","url":null,"abstract":"This paper is to explain about the picture in picture technology that is used innovatively for automated wireless home security. The present home security system needs an LCD screen that is located somewhere inside the home to view the camera video. At some point of time, consider the time when you are watching a very interesting program in the television, may be the last over of a T-20 match or the final minutes of a soccer match, your mind won't allow you to think of anything else than the ongoing match. At this circumstance, when anyone rings your door bell, naturally you won't mind that, whoever the guest may be. At another instance, if you are tired of attending unwelcomed guests n times, chances are there to neglect the guest at the n+1th time more consciously. If the guest at the door is an opportunity, it would be evidently missed. Our innovation to conquer this problem is, the video of the person standing at the door is made appeared at the television screen not by replacing the existing cable signal but as a pop up screen which covers a small portion of the TV screen. So, by noticing the pop up, one can decide which is vital - either the TV program or the guest. This pop up disappears automatically after a certain point of time when the guest leaves.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133276206","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670775
S. Malathi, C. Meena
Matching of partial fingerprints has important applications in both biometrics and forensics. It is well-known that the accuracy of minutiae-based matching algorithms dramatically decreases as the number of available minutiae decreases. When singular structures such as core and delta are unavailable, extended features can be utilized. The current Fingerprint matching technology is quite mature for matching tenprints, matching partial fingerprints still needs lots of improvement. The major challenges faced in partial fingerprint matching are the absence of sufficient level 2 features (minutiae) and other structures such as core and delta. Thus common matching methods based on alignment of singular structures would fail in case of partial prints. Pores (level 3 features) on fingerprints have proven to be discriminative features and have recently been successfully employed in automatic fingerprint recognition systems (AFRS). This paper presents suitable technique for partial fingerprint matching based on pores corresponding their Local Binary Pattern (LBP) features. The first step involves extracting the pores from the partial image. These pores act as anchor points and sub window (32*32) is formed surrounding the pores. Then rotation invariant LBP histograms are obtained from the surrounding window. Finally chisquare formula is used to calculate the minimum distance between two histograms to find best matching score. The experimental results are demonstrated on NIST SD30 database and shows high matching score when matching partial with full fingerprint database.
{"title":"An efficient method for partial fingerprint recognition based on local binary pattern","authors":"S. Malathi, C. Meena","doi":"10.1109/ICCCCT.2010.5670775","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670775","url":null,"abstract":"Matching of partial fingerprints has important applications in both biometrics and forensics. It is well-known that the accuracy of minutiae-based matching algorithms dramatically decreases as the number of available minutiae decreases. When singular structures such as core and delta are unavailable, extended features can be utilized. The current Fingerprint matching technology is quite mature for matching tenprints, matching partial fingerprints still needs lots of improvement. The major challenges faced in partial fingerprint matching are the absence of sufficient level 2 features (minutiae) and other structures such as core and delta. Thus common matching methods based on alignment of singular structures would fail in case of partial prints. Pores (level 3 features) on fingerprints have proven to be discriminative features and have recently been successfully employed in automatic fingerprint recognition systems (AFRS). This paper presents suitable technique for partial fingerprint matching based on pores corresponding their Local Binary Pattern (LBP) features. The first step involves extracting the pores from the partial image. These pores act as anchor points and sub window (32*32) is formed surrounding the pores. Then rotation invariant LBP histograms are obtained from the surrounding window. Finally chisquare formula is used to calculate the minimum distance between two histograms to find best matching score. The experimental results are demonstrated on NIST SD30 database and shows high matching score when matching partial with full fingerprint database.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131345110","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670560
A. Gaur, Karanveer, Amod Kumar, D. Rana
In this paper we will present a touch sensitive compact design that is used for the actuation of myo electric arm. This system was developed as an alternative to today's commonly used electromechanical prosthetic actuation systems. With this system the amputee has to just touch the switch and individual can do couple of activities. Also this switching system is capable of closing and opening of grip according to individual wish.
{"title":"Design and development of touch based switching of myo electric arm","authors":"A. Gaur, Karanveer, Amod Kumar, D. Rana","doi":"10.1109/ICCCCT.2010.5670560","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670560","url":null,"abstract":"In this paper we will present a touch sensitive compact design that is used for the actuation of myo electric arm. This system was developed as an alternative to today's commonly used electromechanical prosthetic actuation systems. With this system the amputee has to just touch the switch and individual can do couple of activities. Also this switching system is capable of closing and opening of grip according to individual wish.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114834371","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670574
C. Karthik, M. Senthilkumar
Neutralizing pH value of sugar cane juice is the important craft in the control process in the clarifying process of sugar cane juice, which is the important factor to influence output and the quality of white sugar. On the one hand, it is an important content to control the neutralized pH value within a required range, which has the vital significance for acquiring high quality purified juice, reducing energy consumption and raising sucrose recovery. On the other hand, it is a complicated physical-chemistry process, which has the characteristics of strong non linearity, time-varying, large time-delay, and multi- input. Therefore, there has not a very good solution to control the neutralized pH value. Firstly, in this paper, neural network model for the clarifying process of sugar juice is established based on gathering 1200 groups of real-time sample data in a sugar factory.
{"title":"Intelligent based modelling, control and fault detection of chemical process","authors":"C. Karthik, M. Senthilkumar","doi":"10.1109/ICCCCT.2010.5670574","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670574","url":null,"abstract":"Neutralizing pH value of sugar cane juice is the important craft in the control process in the clarifying process of sugar cane juice, which is the important factor to influence output and the quality of white sugar. On the one hand, it is an important content to control the neutralized pH value within a required range, which has the vital significance for acquiring high quality purified juice, reducing energy consumption and raising sucrose recovery. On the other hand, it is a complicated physical-chemistry process, which has the characteristics of strong non linearity, time-varying, large time-delay, and multi- input. Therefore, there has not a very good solution to control the neutralized pH value. Firstly, in this paper, neural network model for the clarifying process of sugar juice is established based on gathering 1200 groups of real-time sample data in a sugar factory.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114657199","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670777
M. Shahin, S. Maka
The objective of the present study is to examine whether a simple affine-linear model of autonomous nervous activities would be able to reproduce the characteristic features of MAP regulation observed over long periods of time. In this study, we approach the problem first by constructing a modified nonlinear model for the human ABP regulation system. By simulating with various gain combination values, we quantified the role of the neural modulations in the four baroreflex limbs for blood pressure regulation‥ We applied this method to the experimental water loading. Then, we characterized the transfer function from drinking rate input to pressure output in water loading experiment. Eigen value study is done using the root locus technique. Last, we discuss the origin of the humoral control to capture the sustained and transient components of the response, based on the analysis of the neural control of the dynamic model.
{"title":"A transfer function method for the assessment of nervous system modulation of long term dynamics of blood pressure","authors":"M. Shahin, S. Maka","doi":"10.1109/ICCCCT.2010.5670777","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670777","url":null,"abstract":"The objective of the present study is to examine whether a simple affine-linear model of autonomous nervous activities would be able to reproduce the characteristic features of MAP regulation observed over long periods of time. In this study, we approach the problem first by constructing a modified nonlinear model for the human ABP regulation system. By simulating with various gain combination values, we quantified the role of the neural modulations in the four baroreflex limbs for blood pressure regulation‥ We applied this method to the experimental water loading. Then, we characterized the transfer function from drinking rate input to pressure output in water loading experiment. Eigen value study is done using the root locus technique. Last, we discuss the origin of the humoral control to capture the sustained and transient components of the response, based on the analysis of the neural control of the dynamic model.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128687998","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670789
S. Natarajamani, S. Behera, S. K. Patra
This paper proposes a compact planar single band and dual-band antenna for Wideband local area (WLAN/ultra wideband (UWB) applications. The antenna consists of elliptical metal patch and a 50Ω coplanar waveguide (CPW) transmission line. By etching C-shapped slot in the patch for dual-band antenna (2.45GHz/3.1–10.6GHz). The proposed antenna is successfully designed and simulated. It shows that broadband matched impedance, stable radiation patters, constant gain and consistent group delay over an operating bandwidth.
{"title":"Compact CPW-fed dual-band antenna for WLAN/UWB application","authors":"S. Natarajamani, S. Behera, S. K. Patra","doi":"10.1109/ICCCCT.2010.5670789","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670789","url":null,"abstract":"This paper proposes a compact planar single band and dual-band antenna for Wideband local area (WLAN/ultra wideband (UWB) applications. The antenna consists of elliptical metal patch and a 50Ω coplanar waveguide (CPW) transmission line. By etching C-shapped slot in the patch for dual-band antenna (2.45GHz/3.1–10.6GHz). The proposed antenna is successfully designed and simulated. It shows that broadband matched impedance, stable radiation patters, constant gain and consistent group delay over an operating bandwidth.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134111259","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670605
C. Nijusekar, A. Brindhu kumari
The goal of the blabbering voice - to - Speech Translation research is to enable real - time, interpersonal communication via natural spoken language for people who do not share a common language. The Multilingual Automatic blabbering voice - to - Speech Translator (MASTOR) system is the first Speech - to - Speech system that allows for bidirectional (blabbering voice - Tamil) free-form speech input and output. The speech interactivity embedded module (SIEM) that is quite simplified and suitable for programmable anthropomorphic dialogue and menu driven recognition applications. The proposed SIEM adopts Average Magnitude Different Function (AMDF)-based pitch feature extractor and Dynamic Time Warping (DTW)-based recognizer. The simulated experiments indicate the performance is improved considerably relative to the conventional LPCC-based DTW method. In addition, we apply the proposed SIEM design for wireless master/slave architecture for mobile consumer devices, providing a cost effective solution to meet the request of real-time and flexibility in embedded system prototype development. It also encourages concurrent development of different parts of system hardware as well as module reusing.
{"title":"Translating the sign of dumb person using ARM processor","authors":"C. Nijusekar, A. Brindhu kumari","doi":"10.1109/ICCCCT.2010.5670605","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670605","url":null,"abstract":"The goal of the blabbering voice - to - Speech Translation research is to enable real - time, interpersonal communication via natural spoken language for people who do not share a common language. The Multilingual Automatic blabbering voice - to - Speech Translator (MASTOR) system is the first Speech - to - Speech system that allows for bidirectional (blabbering voice - Tamil) free-form speech input and output. The speech interactivity embedded module (SIEM) that is quite simplified and suitable for programmable anthropomorphic dialogue and menu driven recognition applications. The proposed SIEM adopts Average Magnitude Different Function (AMDF)-based pitch feature extractor and Dynamic Time Warping (DTW)-based recognizer. The simulated experiments indicate the performance is improved considerably relative to the conventional LPCC-based DTW method. In addition, we apply the proposed SIEM design for wireless master/slave architecture for mobile consumer devices, providing a cost effective solution to meet the request of real-time and flexibility in embedded system prototype development. It also encourages concurrent development of different parts of system hardware as well as module reusing.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133986899","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670762
S. Palanikumar, M. Sasikumar, J. Rajeesh, Asst. Professor
Palmprint identification is a subcategory of biometrics identification, which can be efficiently used to identify the people. Palmprint-based identification is currently a potential alternative to human identification method of a well known fingerprint-based identification. For example, if the hand of the identified person is dirty, the accuracy of fingerprint-based identification is distorted, while the palmprint-based identification still yields high identification accuracy. In order to achieve high identification accuracy, all components of the scanned palmprint image need to be enhanced, i.e. palmprint lines, textures and hand geometry features. Specifically, each component needs to be enhanced and employed in order to efficiently identify the people. Based on histogram equalization (HE), contrast enhancement scheme named adaptively increasing the value of histogram (AIVHE) can be used as an enhancement technique. In AIVHE method, the enhancement is controlled by two user parameters beta and gamma. Furthermore, AIVHE method enhance the contrast but the brightness of the palmprint is not preserved. In order to enhance the palmprint and preserve the brightness, Genetic Algorithm is used to optimize the value of beta and gamma based on entropy value. The experiments results show that the proposed method do the enhancement and also preserve the brightness. Entropy is used as a fitness function.
{"title":"Palmprint enhancement using GA-AIVHE method","authors":"S. Palanikumar, M. Sasikumar, J. Rajeesh, Asst. Professor","doi":"10.1109/ICCCCT.2010.5670762","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670762","url":null,"abstract":"Palmprint identification is a subcategory of biometrics identification, which can be efficiently used to identify the people. Palmprint-based identification is currently a potential alternative to human identification method of a well known fingerprint-based identification. For example, if the hand of the identified person is dirty, the accuracy of fingerprint-based identification is distorted, while the palmprint-based identification still yields high identification accuracy. In order to achieve high identification accuracy, all components of the scanned palmprint image need to be enhanced, i.e. palmprint lines, textures and hand geometry features. Specifically, each component needs to be enhanced and employed in order to efficiently identify the people. Based on histogram equalization (HE), contrast enhancement scheme named adaptively increasing the value of histogram (AIVHE) can be used as an enhancement technique. In AIVHE method, the enhancement is controlled by two user parameters beta and gamma. Furthermore, AIVHE method enhance the contrast but the brightness of the palmprint is not preserved. In order to enhance the palmprint and preserve the brightness, Genetic Algorithm is used to optimize the value of beta and gamma based on entropy value. The experiments results show that the proposed method do the enhancement and also preserve the brightness. Entropy is used as a fitness function.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133458961","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 : 2010-12-17DOI: 10.1109/ICCCCT.2010.5670608
S. Kalaivani Narayanan1, R. Wahidabanu
In this paper, we propose an efficient noise reduction method that can be used to reduce speckle and jointly enhancing the edge information, rather than just inhibiting smoothing. In this method speckle is removed by filtering of band pass ultrasound images in Laplacian pyramid domain by using mixed PDE based nonlinear diffusion. In each pyramid layer, a gradient threshold is estimated automatically using robust median estimator. The mean absolute error (MAE) between two adjacent diffusion steps is used as stopping criterion. Quantitative results on synthetic data and simulated phantom show the performance of the proposed method compared to state of the art methods. Results on real images demonstrate that the proposed method is able to preserve edges & structural details of the image.
{"title":"Despeckling of medical diagonostic ultrasound images via Laplacian based mixed PDE","authors":"S. Kalaivani Narayanan1, R. Wahidabanu","doi":"10.1109/ICCCCT.2010.5670608","DOIUrl":"https://doi.org/10.1109/ICCCCT.2010.5670608","url":null,"abstract":"In this paper, we propose an efficient noise reduction method that can be used to reduce speckle and jointly enhancing the edge information, rather than just inhibiting smoothing. In this method speckle is removed by filtering of band pass ultrasound images in Laplacian pyramid domain by using mixed PDE based nonlinear diffusion. In each pyramid layer, a gradient threshold is estimated automatically using robust median estimator. The mean absolute error (MAE) between two adjacent diffusion steps is used as stopping criterion. Quantitative results on synthetic data and simulated phantom show the performance of the proposed method compared to state of the art methods. Results on real images demonstrate that the proposed method is able to preserve edges & structural details of the image.","PeriodicalId":250834,"journal":{"name":"2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2010-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116656784","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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