Pub Date : 2013-11-11DOI: 10.1109/CEEC.2013.6659438
N. Ramli, S. Walker
This paper proposes a new direct-conversion, dc to ac multi-level inverter for photovoltaic applications based on the previously unexploited Golomb (and sparse ruler) number theorems. This allows individual panel outputs to be aggregated in an optimal fashion to produce low-distortion, approximate sine wave outputs with the option of panel blocking in the event of shading. The main advantages of the Golomb structure over the conventional contiguous block arrangement is that it provides 36% less series resistance loss, is transformer-less and runs at the order of 1000 times lower frequency; hence virtually eliminating switching losses. Here we describe a low power prototype which shows just 2% or 16.9dB power distortion with 6 levels compared to the 17.2dB theoretical value.
{"title":"First realisation of a Golomb ruler staircase inverter for photovoltaic applications","authors":"N. Ramli, S. Walker","doi":"10.1109/CEEC.2013.6659438","DOIUrl":"https://doi.org/10.1109/CEEC.2013.6659438","url":null,"abstract":"This paper proposes a new direct-conversion, dc to ac multi-level inverter for photovoltaic applications based on the previously unexploited Golomb (and sparse ruler) number theorems. This allows individual panel outputs to be aggregated in an optimal fashion to produce low-distortion, approximate sine wave outputs with the option of panel blocking in the event of shading. The main advantages of the Golomb structure over the conventional contiguous block arrangement is that it provides 36% less series resistance loss, is transformer-less and runs at the order of 1000 times lower frequency; hence virtually eliminating switching losses. Here we describe a low power prototype which shows just 2% or 16.9dB power distortion with 6 levels compared to the 17.2dB theoretical value.","PeriodicalId":309053,"journal":{"name":"2013 5th Computer Science and Electronic Engineering Conference (CEEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124420643","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 : 2013-11-11DOI: 10.1109/CEEC.2013.6659454
Murat Ali, J. Vlaskamp, N. Eddin, Ben Falconer, Colin Oram
The recent development of the Raspberry Pi mini computer has provided new opportunities to enhance tools for education. The low cost means that it could be a viable option to develop solutions for education sectors in developing countries. This study describes the design, development and manufacture of a prototype solution for educational use within schools in Uganda whilst considering the social implications of implementing such solutions. This study aims to show the potential for providing an educational tool capable of teaching science, engineering and computing in the developing world. During the design and manufacture of the prototype, software and hardware were developed as well as testing performed to define the performance and limitation of the technology. This study showed that it is possible to develop a viable modular based computer systems for educational and teaching purposes. In addition to science, engineering and computing; this study considers the socioeconomic implications of introducing the EPi within developing countries. From a sociological perspective, it is shown that the success of EPi is dependant on understanding the social context, therefore a next phase implementation strategy is proposed.
{"title":"Technical development and socioeconomic implications of the Raspberry Pi as a learning tool in developing countries","authors":"Murat Ali, J. Vlaskamp, N. Eddin, Ben Falconer, Colin Oram","doi":"10.1109/CEEC.2013.6659454","DOIUrl":"https://doi.org/10.1109/CEEC.2013.6659454","url":null,"abstract":"The recent development of the Raspberry Pi mini computer has provided new opportunities to enhance tools for education. The low cost means that it could be a viable option to develop solutions for education sectors in developing countries. This study describes the design, development and manufacture of a prototype solution for educational use within schools in Uganda whilst considering the social implications of implementing such solutions. This study aims to show the potential for providing an educational tool capable of teaching science, engineering and computing in the developing world. During the design and manufacture of the prototype, software and hardware were developed as well as testing performed to define the performance and limitation of the technology. This study showed that it is possible to develop a viable modular based computer systems for educational and teaching purposes. In addition to science, engineering and computing; this study considers the socioeconomic implications of introducing the EPi within developing countries. From a sociological perspective, it is shown that the success of EPi is dependant on understanding the social context, therefore a next phase implementation strategy is proposed.","PeriodicalId":309053,"journal":{"name":"2013 5th Computer Science and Electronic Engineering Conference (CEEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121129027","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 : 2013-11-11DOI: 10.1109/CEEC.2013.6659447
Syibrah Nairm, H. Hagras
Selecting a suitable lighting level for reading is crucial to the overall success of reading comprehension. The light level preferences vary amongst the various users specifically according to changing environment conditions. Thus, it is important when designing the illumination at various intelligent shared spaces to consider the preferences of users from different backgrounds. Hence, we propose a Fuzzy Logic-Multi Criteria Group Decision Making (FL-MCGDM) system which provides a comprehensive valuation from a group of decision makers utilizes General Type-2 Fuzzy Sets. We have carried out experiments in the intelligent apartment (iSpace) located in the University of Essex. The aggregation operation in the proposed method aggregates the various DMs opinions which allow handling the disagreements of DMs' opinions into a unique approval. In addition, the proposed system showed agreement between the proposed method and the real decision outputs from DMs (as quantified by the Pearson Correlation) which outperformed the FL-MCGDM systems based on Type-1 Fuzzy Sets, Interval Type-2 Fuzzy Sets and Interval Type-2 Fuzzy Sets with Hesitation Index.
{"title":"A general type-2 Fuzzy Logic based Multi-Criteria group decision making for lighting level selection in an intelligent environment","authors":"Syibrah Nairm, H. Hagras","doi":"10.1109/CEEC.2013.6659447","DOIUrl":"https://doi.org/10.1109/CEEC.2013.6659447","url":null,"abstract":"Selecting a suitable lighting level for reading is crucial to the overall success of reading comprehension. The light level preferences vary amongst the various users specifically according to changing environment conditions. Thus, it is important when designing the illumination at various intelligent shared spaces to consider the preferences of users from different backgrounds. Hence, we propose a Fuzzy Logic-Multi Criteria Group Decision Making (FL-MCGDM) system which provides a comprehensive valuation from a group of decision makers utilizes General Type-2 Fuzzy Sets. We have carried out experiments in the intelligent apartment (iSpace) located in the University of Essex. The aggregation operation in the proposed method aggregates the various DMs opinions which allow handling the disagreements of DMs' opinions into a unique approval. In addition, the proposed system showed agreement between the proposed method and the real decision outputs from DMs (as quantified by the Pearson Correlation) which outperformed the FL-MCGDM systems based on Type-1 Fuzzy Sets, Interval Type-2 Fuzzy Sets and Interval Type-2 Fuzzy Sets with Hesitation Index.","PeriodicalId":309053,"journal":{"name":"2013 5th Computer Science and Electronic Engineering Conference (CEEC)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130883482","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 : 2013-11-11DOI: 10.1109/CEEC.2013.6659461
A. Sabir, Naseer Al-Jawad, S. Jassim, Abdulbasit K. Al-Talabani
Gait recognition is one of the biometric recognition systems that do not require observed subject's attention and assistance. This paper proposes gender classification based on human gait. Gender is an important demographic attribute of people that can play a significant role in automatic gait recognition, the perception of gender determines social interactions. Humans are very accurate at recognizing gender from face, voice or the manner in which an individual walks. In our proposed technique we focus on using three different types of features; Spatio-Temporal Model, Leg Motion Detection, and Statistical Wavelet Model. These features have different characteristics to be used in gender recognition system based on gait recognition. For testing the performance of our method we used CASIA B gait database this paper proposes a way of testing the performance by selecting randomly equal subset of males and females then run the experiment repeatedly many times to cover the entire subjects in the database. This testing approach makes the achieved result more reliable compared with the existing approaches. Two different classification methods used in our proposal; K-Nearest Neighbors and Support Vector Machine. Our experimental results, of 96.47% classification rate in average, show that our approach is providing more trustworthy accuracy compared with the existent approaches.
{"title":"Human gait gender classification based on fusing spatio-temporal and wavelet statistical features","authors":"A. Sabir, Naseer Al-Jawad, S. Jassim, Abdulbasit K. Al-Talabani","doi":"10.1109/CEEC.2013.6659461","DOIUrl":"https://doi.org/10.1109/CEEC.2013.6659461","url":null,"abstract":"Gait recognition is one of the biometric recognition systems that do not require observed subject's attention and assistance. This paper proposes gender classification based on human gait. Gender is an important demographic attribute of people that can play a significant role in automatic gait recognition, the perception of gender determines social interactions. Humans are very accurate at recognizing gender from face, voice or the manner in which an individual walks. In our proposed technique we focus on using three different types of features; Spatio-Temporal Model, Leg Motion Detection, and Statistical Wavelet Model. These features have different characteristics to be used in gender recognition system based on gait recognition. For testing the performance of our method we used CASIA B gait database this paper proposes a way of testing the performance by selecting randomly equal subset of males and females then run the experiment repeatedly many times to cover the entire subjects in the database. This testing approach makes the achieved result more reliable compared with the existing approaches. Two different classification methods used in our proposal; K-Nearest Neighbors and Support Vector Machine. Our experimental results, of 96.47% classification rate in average, show that our approach is providing more trustworthy accuracy compared with the existent approaches.","PeriodicalId":309053,"journal":{"name":"2013 5th Computer Science and Electronic Engineering Conference (CEEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121708070","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 : 2013-11-11DOI: 10.1109/CEEC.2013.6659465
R. Hamed
In this paper we present a weighted fuzzy production rules method incorporating the concepts of local weight with fuzzy Petri net. An improved method to compute the fuzzy value of the gene expression levels of the consequent part and a better way to interpret the linguistic meaning of the consequent are proposed here. Our approach offers the advantages of enhancing the knowledge representation power of a fuzzy production rules, reducing the undesirable effects when computing the consequent part by the graphical representation of fuzzy Petri net. In the proposed model, a gene expression profile is first transformed into a mapping form and then the transformed data are mapped into the fuzzy inference system. We have built the fuzzy Petri net model and classified the input data in terms of time point and obtained the output data, so the system can be viewed as the two-input of five sets (very low, low, medium, high, and very high) and one output system.
{"title":"Intelligent method of Petri net formal computational modeling of biological networks","authors":"R. Hamed","doi":"10.1109/CEEC.2013.6659465","DOIUrl":"https://doi.org/10.1109/CEEC.2013.6659465","url":null,"abstract":"In this paper we present a weighted fuzzy production rules method incorporating the concepts of local weight with fuzzy Petri net. An improved method to compute the fuzzy value of the gene expression levels of the consequent part and a better way to interpret the linguistic meaning of the consequent are proposed here. Our approach offers the advantages of enhancing the knowledge representation power of a fuzzy production rules, reducing the undesirable effects when computing the consequent part by the graphical representation of fuzzy Petri net. In the proposed model, a gene expression profile is first transformed into a mapping form and then the transformed data are mapped into the fuzzy inference system. We have built the fuzzy Petri net model and classified the input data in terms of time point and obtained the output data, so the system can be viewed as the two-input of five sets (very low, low, medium, high, and very high) and one output system.","PeriodicalId":309053,"journal":{"name":"2013 5th Computer Science and Electronic Engineering Conference (CEEC)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129762218","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 : 2013-11-11DOI: 10.1109/CEEC.2013.6659443
Alaa Alsebae, M. Leeson, R. Green
Network coding can greatly influence the performance of flow control schemes. In this paper, the throughput of end-to-end Selective Repeat (SR) Automatic Repeat request (ARQ) of an intermediate communication link is investigated based on the Network Coding (NC) technique. Through MATLAB SimEvents® Simulink, we shall show that the throughput performance is sensitive to a number of the node incoming links and the available bandwidth at which the channel is operating. The throughput performance is studied as a function of the factor a, which represents the ratio of the propagation time to the packet transmission time. For a low bandwidth error-free unicast, NC showed a throughput improvement of between 100% and 400% when a is high, and between 1% and 5% for a low value of a, depending on the number of the incoming node links. In erroneous scenarios, the comparative results show that NC lends itself perfectly to fulfilling between 22% and 40% throughput achievement gain over the traditional SR ARQ for a small value of a and Packet Error Rate (PER) equal to 0.01. Furthermore, the improvement reaches between 47% and 153% if the channel is susceptible to a PER of 0.1.
{"title":"The throughput benefits of network coding for SR ARQ communication","authors":"Alaa Alsebae, M. Leeson, R. Green","doi":"10.1109/CEEC.2013.6659443","DOIUrl":"https://doi.org/10.1109/CEEC.2013.6659443","url":null,"abstract":"Network coding can greatly influence the performance of flow control schemes. In this paper, the throughput of end-to-end Selective Repeat (SR) Automatic Repeat request (ARQ) of an intermediate communication link is investigated based on the Network Coding (NC) technique. Through MATLAB SimEvents® Simulink, we shall show that the throughput performance is sensitive to a number of the node incoming links and the available bandwidth at which the channel is operating. The throughput performance is studied as a function of the factor a, which represents the ratio of the propagation time to the packet transmission time. For a low bandwidth error-free unicast, NC showed a throughput improvement of between 100% and 400% when a is high, and between 1% and 5% for a low value of a, depending on the number of the incoming node links. In erroneous scenarios, the comparative results show that NC lends itself perfectly to fulfilling between 22% and 40% throughput achievement gain over the traditional SR ARQ for a small value of a and Packet Error Rate (PER) equal to 0.01. Furthermore, the improvement reaches between 47% and 153% if the channel is susceptible to a PER of 0.1.","PeriodicalId":309053,"journal":{"name":"2013 5th Computer Science and Electronic Engineering Conference (CEEC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114543425","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 : 2013-11-11DOI: 10.1109/CEEC.2013.6659468
Khattab M. Ali Alheeti, L. Al-Jobouri, K. Mcdonald-Maier
This paper presents techniques to increase intrusion detection rates. Theses techniques are based on specific features that are detected and it's shown that a small number of features (9) can yield improved detection rates compared to higher numbers. These techniques utilize soft computing techniques such a Backpropagation based artificial neural networks and fuzzy sets. These techniques achieve a significant improvement over the state of the art for standard DARPA benchmark data.
{"title":"Increasing the rate of intrusion detection based on a hybrid technique","authors":"Khattab M. Ali Alheeti, L. Al-Jobouri, K. Mcdonald-Maier","doi":"10.1109/CEEC.2013.6659468","DOIUrl":"https://doi.org/10.1109/CEEC.2013.6659468","url":null,"abstract":"This paper presents techniques to increase intrusion detection rates. Theses techniques are based on specific features that are detected and it's shown that a small number of features (9) can yield improved detection rates compared to higher numbers. These techniques utilize soft computing techniques such a Backpropagation based artificial neural networks and fuzzy sets. These techniques achieve a significant improvement over the state of the art for standard DARPA benchmark data.","PeriodicalId":309053,"journal":{"name":"2013 5th Computer Science and Electronic Engineering Conference (CEEC)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115334630","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 : 2013-11-11DOI: 10.1109/CEEC.2013.6659440
S. Heydarzadeh, P. Torkzadeh, M. Pourmina
In this paper, the design of programmable fractional-n frequency divider with 0.18pμm and TSMC process is presented. The proposed structure is based on Extended True-Single-Phase-Clock (E-TSPC) divider and created different fractions of the input frequency at the output node by changing the DC level of the input signal. The programmable frequency divider operates up to 12GHz and therefore, a 12GHz sinusoidal input voltage applies to produce simulation results. The circuit consumes power less than 1.44mW power from 1.8V supply voltage and have a small area occupation (about 22μm×42μm). The maximum value of linear noise at output node is about 440nV and the duty-cycle of output voltage is about 50%. The high-swing sinusoidal input voltage and 1pF load capacitance impact on the programmable structure have been investigated and new structure suggested under these conditions. Advanced Design System (ADS) used to produce simulation results and Ledit utilized for drawing layout.
{"title":"A 12GHz programmable fractional-n frequency divider with 0.18um CMOS technology","authors":"S. Heydarzadeh, P. Torkzadeh, M. Pourmina","doi":"10.1109/CEEC.2013.6659440","DOIUrl":"https://doi.org/10.1109/CEEC.2013.6659440","url":null,"abstract":"In this paper, the design of programmable fractional-n frequency divider with 0.18pμm and TSMC process is presented. The proposed structure is based on Extended True-Single-Phase-Clock (E-TSPC) divider and created different fractions of the input frequency at the output node by changing the DC level of the input signal. The programmable frequency divider operates up to 12GHz and therefore, a 12GHz sinusoidal input voltage applies to produce simulation results. The circuit consumes power less than 1.44mW power from 1.8V supply voltage and have a small area occupation (about 22μm×42μm). The maximum value of linear noise at output node is about 440nV and the duty-cycle of output voltage is about 50%. The high-swing sinusoidal input voltage and 1pF load capacitance impact on the programmable structure have been investigated and new structure suggested under these conditions. Advanced Design System (ADS) used to produce simulation results and Ledit utilized for drawing layout.","PeriodicalId":309053,"journal":{"name":"2013 5th Computer Science and Electronic Engineering Conference (CEEC)","volume":"45 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125694620","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 : 2013-11-11DOI: 10.1109/CEEC.2013.6659459
Hanan Al-Jubouri, H. Du, H. Sellahewa
Image segmentation based on clustering low-level image features such as colour and texture, has been successfully employed in image classification and content-based image retrieval. In segmentation based image classification, the role of clustering to segment an image into its relevant constituents that represent image visual content as well as its semantic content. However, image content can vary from having a simple foreground object on a regular background to having multiple objects of different sizes, shapes, colour and texture in complex background scenes. This makes automatic image classification a challenging task. This paper evaluates three adaptive clustering algorithms of different categories, i.e., partition-based, model-based, and density-based in segmenting local colour and texture features for image classification. Experiments are conducted on the publicly available WANG database. The results show that the adaptive EM/GMM algorithm outperforms the adaptive k-means and mean shift algorithms.
{"title":"Adaptive clustering based segmentation for image classification","authors":"Hanan Al-Jubouri, H. Du, H. Sellahewa","doi":"10.1109/CEEC.2013.6659459","DOIUrl":"https://doi.org/10.1109/CEEC.2013.6659459","url":null,"abstract":"Image segmentation based on clustering low-level image features such as colour and texture, has been successfully employed in image classification and content-based image retrieval. In segmentation based image classification, the role of clustering to segment an image into its relevant constituents that represent image visual content as well as its semantic content. However, image content can vary from having a simple foreground object on a regular background to having multiple objects of different sizes, shapes, colour and texture in complex background scenes. This makes automatic image classification a challenging task. This paper evaluates three adaptive clustering algorithms of different categories, i.e., partition-based, model-based, and density-based in segmenting local colour and texture features for image classification. Experiments are conducted on the publicly available WANG database. The results show that the adaptive EM/GMM algorithm outperforms the adaptive k-means and mean shift algorithms.","PeriodicalId":309053,"journal":{"name":"2013 5th Computer Science and Electronic Engineering Conference (CEEC)","volume":"78 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114043567","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 : 2013-11-11DOI: 10.1109/CEEC.2013.6659452
T. Ji, P. Wu, Mengshi Li, H. Zheng
This paper proposes a generic scheme for CT image segmentation, which is based on mathematical morphology. After converting raw CT data into a gray scale image, morphological reconstruction and filtering techniques are employed to process the image, aiming at the accurate identification of the target. Simulation studies on insect CT data demonstrate that the proposed scheme is able to segment the target from the background with the presence of noise.
{"title":"Adaptive CT image segmentation using mathematical morphology","authors":"T. Ji, P. Wu, Mengshi Li, H. Zheng","doi":"10.1109/CEEC.2013.6659452","DOIUrl":"https://doi.org/10.1109/CEEC.2013.6659452","url":null,"abstract":"This paper proposes a generic scheme for CT image segmentation, which is based on mathematical morphology. After converting raw CT data into a gray scale image, morphological reconstruction and filtering techniques are employed to process the image, aiming at the accurate identification of the target. Simulation studies on insect CT data demonstrate that the proposed scheme is able to segment the target from the background with the presence of noise.","PeriodicalId":309053,"journal":{"name":"2013 5th Computer Science and Electronic Engineering Conference (CEEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115195040","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：