Pub Date : 2017-05-01DOI: 10.1109/SSPS.2017.8071641
A. Abdulasik, Dr.K.Suriyakrishnaan
The main objective of designing the project is provide good scalability and increase networks lifespan. Sensor networks faces consequences such as insufficient amount of resources and they are susceptible to environmental condition, thus decreasing lifespan of sensor node. To resolve such issues multi user multiple-input/output (MU-MIMO) system is established in that multi cluster heads are implemented in each cluster to facilitate dual data uploading and to balance workload. Wireless sensor networks which works as a sensor nodes senses the data and SenCar collects information from environment. Then data is forwarded to sink node from SenCar via single or multiple hops. WSN is proved to be a effective in fields like medical, military, home etc. But authentication is essential in such fields. To provide authentication sink generates questions based on selection of SenCar node. An intruder might come and collect whole data in each cluster. To avoid such arrival of intruder, sink uploads the answer to SenCar node for multiple cluster head location based questions.
{"title":"Improvement of network lifetime with security and load balancing mobile data clustering for wireless sensor networks","authors":"A. Abdulasik, Dr.K.Suriyakrishnaan","doi":"10.1109/SSPS.2017.8071641","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071641","url":null,"abstract":"The main objective of designing the project is provide good scalability and increase networks lifespan. Sensor networks faces consequences such as insufficient amount of resources and they are susceptible to environmental condition, thus decreasing lifespan of sensor node. To resolve such issues multi user multiple-input/output (MU-MIMO) system is established in that multi cluster heads are implemented in each cluster to facilitate dual data uploading and to balance workload. Wireless sensor networks which works as a sensor nodes senses the data and SenCar collects information from environment. Then data is forwarded to sink node from SenCar via single or multiple hops. WSN is proved to be a effective in fields like medical, military, home etc. But authentication is essential in such fields. To provide authentication sink generates questions based on selection of SenCar node. An intruder might come and collect whole data in each cluster. To avoid such arrival of intruder, sink uploads the answer to SenCar node for multiple cluster head location based questions.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128092708","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071596
R. Bhusari, N. Ramgir, K. Avhad, R. Jishita, R. Navneethan, A. Debnath, K. Muthe, S. Gadkari
Ti modified ZnO nanowires (NW) film has been demonstrated as an excellent Nitrogen Dioxide (NO2) sensor. Herein, Ti acts as a sensitizer to improve the sensor response, and response kinetics of ZnO NW towards NO2. The sensor exhibited an enhanced response (Rg/Ra) of 7 at an optimum operating temperature of 200oC. The observed sensing characteristics are corroborated with the finding of work function measurements using Kelvin Probe Technique.
{"title":"Development of NO2 sensor based on Ti modified ZnO nanowires","authors":"R. Bhusari, N. Ramgir, K. Avhad, R. Jishita, R. Navneethan, A. Debnath, K. Muthe, S. Gadkari","doi":"10.1109/SSPS.2017.8071596","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071596","url":null,"abstract":"Ti modified ZnO nanowires (NW) film has been demonstrated as an excellent Nitrogen Dioxide (NO2) sensor. Herein, Ti acts as a sensitizer to improve the sensor response, and response kinetics of ZnO NW towards NO2. The sensor exhibited an enhanced response (Rg/Ra) of 7 at an optimum operating temperature of 200oC. The observed sensing characteristics are corroborated with the finding of work function measurements using Kelvin Probe Technique.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131468779","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071621
Shreya Lal, S. Behera, Dr. Prabira Kumar Sethy, A. Rath
Classification of fruits is an onerous and tedious task because of countless number of fruits. The traditional approach for detection and classification of fruit and its maturity level is based on the naked eye observation by the experts, which is both time consuming and causes eye fatigue. Advance techniques in image processing and machine learning helps to automatic classify and count the fruits, accurately, quickly and non-destructively. A method to automatic detect and classify apple fruit maturity level, whether it is mature or immature based on its color features has been proposed. Images of the apple are resized and Image Processing Techniques are applied for the extraction of apple color components (R, G, B). Artificial Neural Network is used as a classifier to identify and count the mature and immature applesusingcolor components. The proposed model has an accuracy of 98.1%, when all the three attributes are used as an input.
{"title":"Identification and counting of mature apple fruit based on BP feed forward neural network","authors":"Shreya Lal, S. Behera, Dr. Prabira Kumar Sethy, A. Rath","doi":"10.1109/SSPS.2017.8071621","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071621","url":null,"abstract":"Classification of fruits is an onerous and tedious task because of countless number of fruits. The traditional approach for detection and classification of fruit and its maturity level is based on the naked eye observation by the experts, which is both time consuming and causes eye fatigue. Advance techniques in image processing and machine learning helps to automatic classify and count the fruits, accurately, quickly and non-destructively. A method to automatic detect and classify apple fruit maturity level, whether it is mature or immature based on its color features has been proposed. Images of the apple are resized and Image Processing Techniques are applied for the extraction of apple color components (R, G, B). Artificial Neural Network is used as a classifier to identify and count the mature and immature applesusingcolor components. The proposed model has an accuracy of 98.1%, when all the three attributes are used as an input.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130285909","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071561
R. Mishra, Neetu Shukla, C. K. Dwivedi
A basic mechanism for Wavelength Division Multiplexing (WDM) implementation in optical network systems is the gain flatness of Erbium-Doped Fibre Amplifier (EDFA). The main intention of this paper is to correct the performance and non-uniformity in the gain for every single channel so that the amplitude gain of the Wavelength Division Multiplexing (WDM) arrangement can be equalized. The simulator used in this paper is Optisystem 14 so as to make successful gain flatness of EDFA. The gains are flattened inside 27dB from 1546nm to 1568nm group of wavelength with noise figure < 14dB and we have also seen the effects of various pumping techniques on gain and noise figure. A WDM system arrangement that includes an EDFA is modelled and obtained maximum uniformed gains.
{"title":"Performance analysis and implementation of different pumping techniques on an EDFA amplifier","authors":"R. Mishra, Neetu Shukla, C. K. Dwivedi","doi":"10.1109/SSPS.2017.8071561","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071561","url":null,"abstract":"A basic mechanism for Wavelength Division Multiplexing (WDM) implementation in optical network systems is the gain flatness of Erbium-Doped Fibre Amplifier (EDFA). The main intention of this paper is to correct the performance and non-uniformity in the gain for every single channel so that the amplitude gain of the Wavelength Division Multiplexing (WDM) arrangement can be equalized. The simulator used in this paper is Optisystem 14 so as to make successful gain flatness of EDFA. The gains are flattened inside 27dB from 1546nm to 1568nm group of wavelength with noise figure < 14dB and we have also seen the effects of various pumping techniques on gain and noise figure. A WDM system arrangement that includes an EDFA is modelled and obtained maximum uniformed gains.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"38 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132836217","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071628
B. Rajapandian, V. Harini, D. Raksha, V. Sangeetha
Communication is the only medium by which we can share our thoughts or convey the message but for a person with disability (deaf and dumb) faces difficulty in communication with normal person. Generally, there will likely be at least some level of social isolation for those with disabilities With deafness/muteness, employing the same methods of communication as the other person (e.g. sign language or text-to-speech) is definitely going to be a main factor under consideration. It is fundamental to disabled people's lives that disability is recognized as an equality issue. In this project, we are going to propose a new system-prototype in an effort to make the process of interaction between the Blind, Deaf and Dumb people much easier. This will make use of the Portable Technology and Arduino Circuit Boards to provide a means of communication to differently-abled people having one or all of the above mention disabilities.
{"title":"A novel approach as an AID for blind, deaf and dumb people","authors":"B. Rajapandian, V. Harini, D. Raksha, V. Sangeetha","doi":"10.1109/SSPS.2017.8071628","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071628","url":null,"abstract":"Communication is the only medium by which we can share our thoughts or convey the message but for a person with disability (deaf and dumb) faces difficulty in communication with normal person. Generally, there will likely be at least some level of social isolation for those with disabilities With deafness/muteness, employing the same methods of communication as the other person (e.g. sign language or text-to-speech) is definitely going to be a main factor under consideration. It is fundamental to disabled people's lives that disability is recognized as an equality issue. In this project, we are going to propose a new system-prototype in an effort to make the process of interaction between the Blind, Deaf and Dumb people much easier. This will make use of the Portable Technology and Arduino Circuit Boards to provide a means of communication to differently-abled people having one or all of the above mention disabilities.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"332 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132300244","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071606
Prajnyajit Mohanty, P. Siddharth, Kunjabihari Swain, Rakesh Kumar Patnaik
Drowsiness is becoming a severe issue in case of traffic accidents. Normally, Sleeping can be identified from several factors like eye blink level, yawning, gripping force on the wheel and so on. But all these measuring techniques will check only the physical activities of the human. In some cases, people will mentally sleep with eyes open for a few seconds. This will make very big accidents in driving. The key work of the project is analysing the brain signals. Human brain consists of millions of interconnected neurons. This neuron pattern will change according to the human thoughts. If a person is mentally sleeping with eyes open then the attention level brain signal will get changed compared to the normal condition. This project work uses a forehead single dry electrode which can collect Electroencephalogram (EEG) based brain signals of different frequency and amplitude. Then using data aquisition system and LABVIEW software the collected signals are analysed. Depending on mental stages different EEG signals are generated. The EEG signals are analysed in LABVIEW to reveal the features which describes the human stage.
{"title":"Driver assistant for the detection of drowsiness and alcohol effect","authors":"Prajnyajit Mohanty, P. Siddharth, Kunjabihari Swain, Rakesh Kumar Patnaik","doi":"10.1109/SSPS.2017.8071606","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071606","url":null,"abstract":"Drowsiness is becoming a severe issue in case of traffic accidents. Normally, Sleeping can be identified from several factors like eye blink level, yawning, gripping force on the wheel and so on. But all these measuring techniques will check only the physical activities of the human. In some cases, people will mentally sleep with eyes open for a few seconds. This will make very big accidents in driving. The key work of the project is analysing the brain signals. Human brain consists of millions of interconnected neurons. This neuron pattern will change according to the human thoughts. If a person is mentally sleeping with eyes open then the attention level brain signal will get changed compared to the normal condition. This project work uses a forehead single dry electrode which can collect Electroencephalogram (EEG) based brain signals of different frequency and amplitude. Then using data aquisition system and LABVIEW software the collected signals are analysed. Depending on mental stages different EEG signals are generated. The EEG signals are analysed in LABVIEW to reveal the features which describes the human stage.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133018918","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071585
I. Franciska, B. Swaminathan
In data mining techniques, Clustering is a performed by grouping objects based on similarity of its characteristics to provide patterns and knowledge of given user data. Different types of clustering algorithms called partitioning, hierarchical and grid based clustering methods. Here k-means clustering, k-medoids clustering, Hierarchical clustering, DBSCAN and Fuzzy c means clustering. Clustering algorithms are used for customer churn analysis; one of the important reasons is that the cost of increasing a new customer is much higher than retaining an existing customer by using customer churn analysis. Initially KNIME analytics platform is used to analyse and visualization of data and later it is used to create model, rules and interactive views ofdata.
在数据挖掘技术中，聚类是根据对象特征的相似性对对象进行分组，以提供给定用户数据的模式和知识。不同类型的聚类算法称为分区、分层和基于网格的聚类方法。这里有k-means聚类、k- medidoids聚类、Hierarchical聚类、DBSCAN聚类和Fuzzy c means聚类。聚类算法用于客户流失分析;其中一个重要的原因是，通过使用客户流失分析，增加新客户的成本要比保留现有客户的成本高得多。KNIME分析平台最初用于分析和可视化数据，后来用于创建模型，规则和数据的交互式视图。
{"title":"Churn prediction analysis using various clustering algorithms in KNIME analytics platform","authors":"I. Franciska, B. Swaminathan","doi":"10.1109/SSPS.2017.8071585","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071585","url":null,"abstract":"In data mining techniques, Clustering is a performed by grouping objects based on similarity of its characteristics to provide patterns and knowledge of given user data. Different types of clustering algorithms called partitioning, hierarchical and grid based clustering methods. Here k-means clustering, k-medoids clustering, Hierarchical clustering, DBSCAN and Fuzzy c means clustering. Clustering algorithms are used for customer churn analysis; one of the important reasons is that the cost of increasing a new customer is much higher than retaining an existing customer by using customer churn analysis. Initially KNIME analytics platform is used to analyse and visualization of data and later it is used to create model, rules and interactive views ofdata.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115713375","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071636
A. Rashid, Peer Mohamed Siddikhan, C. Selvakumar, M. Suresh
The aim of this paper is to improve performance and to reduce peak overshoot of a thermal process. Set point filter is widely used for reducing peak overshoot in various procees. There are different anti integral windup methods such as back calculation and conditional integration are used for eliminating integral windup action, which improves system performance. For achieving the advantage of set point filter and anti integral windup strategy, a newly proposed method of set point filter based anti integral windup PID controller with integral state predictor is used in thermal process. PID controller is used in a process, due to integral windup phenomenon, performance degradation and large peak overshoot will appear. The steady state value of integral state is predicted while PID controller output is saturated and its value is utilized as initial value of integral state when PID controller begins to operate in a linear range. Set point filter is designed by using peak overshoot and peak time of system response. The proposed method is applied on FOPDT transfer function of a thermal process and studied using MATLAB Simulink tool. The Simulation results shows that performance of the process is improved and peak overshoot is reduced.
{"title":"The performance analysis of PID controller with setpoint filter and anti integral Windup for a FOPDT thermal process","authors":"A. Rashid, Peer Mohamed Siddikhan, C. Selvakumar, M. Suresh","doi":"10.1109/SSPS.2017.8071636","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071636","url":null,"abstract":"The aim of this paper is to improve performance and to reduce peak overshoot of a thermal process. Set point filter is widely used for reducing peak overshoot in various procees. There are different anti integral windup methods such as back calculation and conditional integration are used for eliminating integral windup action, which improves system performance. For achieving the advantage of set point filter and anti integral windup strategy, a newly proposed method of set point filter based anti integral windup PID controller with integral state predictor is used in thermal process. PID controller is used in a process, due to integral windup phenomenon, performance degradation and large peak overshoot will appear. The steady state value of integral state is predicted while PID controller output is saturated and its value is utilized as initial value of integral state when PID controller begins to operate in a linear range. Set point filter is designed by using peak overshoot and peak time of system response. The proposed method is applied on FOPDT transfer function of a thermal process and studied using MATLAB Simulink tool. The Simulation results shows that performance of the process is improved and peak overshoot is reduced.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114469930","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071597
Priti V. Rane, U. Kulkarni
Academia and industries are showing great deal of interest in integration of various web services. Result of numerous corresponding web services merged into one, which leads to discovery of new types of information. With the advent of Web 2.0, there has been a substantial increase in development and usage of E-commerce websites. But this has also lead to new arenas of requirements that open up such has an efficient data mining technology for searching, robust & reliable infrastructure. Amalgamation of web 2.0 and integrated web mashup services give advantages to user. As a result, user can interact easily with different types of services as per application of interest. Integrated mashup service system used user behavior analysis for clustering of data. Data of various web services is clustered by using Euclidean distance algorithm. Finally structured output is shown to the user based multiple predictions of particular user. This paper adopts Knowledge Discovery in Services (KDS) process, which leads to discover new type of data.
学术界和工业界对各种web服务的集成表现出极大的兴趣。将众多相应的web服务合并为一个的结果，从而导致发现新的信息类型。随着Web 2.0的出现，电子商务网站的开发和使用有了实质性的增长。但这也导致了新的需求领域的出现，比如需要一个高效的数据挖掘技术来搜索、健壮和可靠的基础设施。web 2.0和集成web mashup服务的融合为用户提供了优势。因此，用户可以根据感兴趣的应用程序轻松地与不同类型的服务进行交互。集成mashup服务系统采用用户行为分析对数据进行聚类。利用欧几里得距离算法对各种web服务的数据进行聚类。最后，基于特定用户的多个预测，向用户显示结构化的输出。本文采用服务中的知识发现(Knowledge Discovery in Services, KDS)流程，从而发现新的数据类型。
{"title":"Implementation of integrated mashup service a concepts","authors":"Priti V. Rane, U. Kulkarni","doi":"10.1109/SSPS.2017.8071597","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071597","url":null,"abstract":"Academia and industries are showing great deal of interest in integration of various web services. Result of numerous corresponding web services merged into one, which leads to discovery of new types of information. With the advent of Web 2.0, there has been a substantial increase in development and usage of E-commerce websites. But this has also lead to new arenas of requirements that open up such has an efficient data mining technology for searching, robust & reliable infrastructure. Amalgamation of web 2.0 and integrated web mashup services give advantages to user. As a result, user can interact easily with different types of services as per application of interest. Integrated mashup service system used user behavior analysis for clustering of data. Data of various web services is clustered by using Euclidean distance algorithm. Finally structured output is shown to the user based multiple predictions of particular user. This paper adopts Knowledge Discovery in Services (KDS) process, which leads to discover new type of data.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116477262","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071578
S. Kulkarni, S. Annadate
An optic disc Segmentation is a very important role for retinal image study. Retinal image segmentation supports diagnosis in modern ophthalmology. Diagnosis of several illnesses like diabetic retinopathy, glaucoma and hypertension is achieved using morphology of the blood vessel and the optic disc. The paper presents a method which extracts retina vascular tree using graph cut method. Optic disc location detected by using blood vessel segmentation. “Markov Random Field” algorithm is applied to optic disc for segmentation. “Markov Random Field (MRF)” reconstructs image using segmenting through reducing vessels from the optic disc region.
{"title":"Optic disc segmentation using graph cut technique","authors":"S. Kulkarni, S. Annadate","doi":"10.1109/SSPS.2017.8071578","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071578","url":null,"abstract":"An optic disc Segmentation is a very important role for retinal image study. Retinal image segmentation supports diagnosis in modern ophthalmology. Diagnosis of several illnesses like diabetic retinopathy, glaucoma and hypertension is achieved using morphology of the blood vessel and the optic disc. The paper presents a method which extracts retina vascular tree using graph cut method. Optic disc location detected by using blood vessel segmentation. “Markov Random Field” algorithm is applied to optic disc for segmentation. “Markov Random Field (MRF)” reconstructs image using segmenting through reducing vessels from the optic disc region.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128174033","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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