Pub Date : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318653
Harshali Sapkal, Prachi Talokar, Uday Vishvekar, Sanjana Wagh, S. Kotecha
Isolated DC microgrid is independent of utility grid. It consists of distributed energy resource (DERs) as Photovoltaic (PV) solar array along with battery and connected loads. The objective of this concept is to cater the growing energy demand. In country like India, till now conventional energy resources have been used which are limited deposits. To equitable the rising demand for energy the best way is to switch with renewable resources for energy generation. Also in the obscure areas where it is nearly impossible to transmit electricity, this concept of isolated dc microgrid to electrify the remote areas can be implemented. Another advantage is that; it earns carbon credits. The entire system incorporates PV array along with Maximum Power Point Tracking (MPPT) algorithm and battery to maintain the voltage level since the nature of solar is intermittent in nature as the sun's radiance fluctuates every time. This is achieved by using MPPT charge controller. The electronically operating dc to dc converter is MPPT, which stands for Maximun Power Point Tracking. The energy derived from solar and battery is enhanced by MPPT controller. It also protects the battery from overcharging thus ensuring battery protection. The voltage obtained from MPPT is dc voltage and to run the ac load inverter circuit is used. This paper provides MPPT design using the perturb and observe method.
{"title":"Review of Isolated DC Microgrid Coalescing Maximum Power Point Tracking and PV Array to Produce Electric Energy","authors":"Harshali Sapkal, Prachi Talokar, Uday Vishvekar, Sanjana Wagh, S. Kotecha","doi":"10.1109/ICCDW45521.2020.9318653","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318653","url":null,"abstract":"Isolated DC microgrid is independent of utility grid. It consists of distributed energy resource (DERs) as Photovoltaic (PV) solar array along with battery and connected loads. The objective of this concept is to cater the growing energy demand. In country like India, till now conventional energy resources have been used which are limited deposits. To equitable the rising demand for energy the best way is to switch with renewable resources for energy generation. Also in the obscure areas where it is nearly impossible to transmit electricity, this concept of isolated dc microgrid to electrify the remote areas can be implemented. Another advantage is that; it earns carbon credits. The entire system incorporates PV array along with Maximum Power Point Tracking (MPPT) algorithm and battery to maintain the voltage level since the nature of solar is intermittent in nature as the sun's radiance fluctuates every time. This is achieved by using MPPT charge controller. The electronically operating dc to dc converter is MPPT, which stands for Maximun Power Point Tracking. The energy derived from solar and battery is enhanced by MPPT controller. It also protects the battery from overcharging thus ensuring battery protection. The voltage obtained from MPPT is dc voltage and to run the ac load inverter circuit is used. This paper provides MPPT design using the perturb and observe method.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115771129","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318650
Akansha Bhargava, Gauri Salunkhe, Kishor S. Bhosale
Video Analytics is widely applied in the field of surveillance. Recently, with the advent in technology deep learning network has been incorporated in the video action detection. Traditional CNN is employed to extract 2D spatial features of image but for video it is required to exploit CNN for temporal information. In this work we propose to do instance segmentation in video bytes and predicting the actions with the help of deep learning. And, we aim to present an implementation of an algorithm that can depict anomalies in real time video feed.
{"title":"A Comprehensive Study and Detection of Anomalies for Autonomous Video Surveillance Using Neuromorphic Computing and Self Learning Algorithm","authors":"Akansha Bhargava, Gauri Salunkhe, Kishor S. Bhosale","doi":"10.1109/ICCDW45521.2020.9318650","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318650","url":null,"abstract":"Video Analytics is widely applied in the field of surveillance. Recently, with the advent in technology deep learning network has been incorporated in the video action detection. Traditional CNN is employed to extract 2D spatial features of image but for video it is required to exploit CNN for temporal information. In this work we propose to do instance segmentation in video bytes and predicting the actions with the help of deep learning. And, we aim to present an implementation of an algorithm that can depict anomalies in real time video feed.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121060086","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318720
Apurva Vilas Khachane, S. S. Dhamse
As SRM doesn't have permanent magnet, it is light weight motor and has constant power output capability which finds application primarily in space applications and Electric Vehicle because of high torque to weight ratio and low rotor inertia. It has small size, high efficiency, low cost. Hence, day by day Switched Reluctance Motor is becoming best alternative to DC and BLDC motors. In this paper MATLAB Simulink model is used to analyze controller performance. Selection of angle for region of operation to trigger the converter is explained here. With feasible approximations, nonlinear nature of SRM can be explained with its linear model having dynamic behavior, for the sake of simplicity and study purpose.
{"title":"Torque Ripple Minimization of Switched Reluctance Motor and Comparison of Controllers for Electric Vehicle Applications","authors":"Apurva Vilas Khachane, S. S. Dhamse","doi":"10.1109/ICCDW45521.2020.9318720","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318720","url":null,"abstract":"As SRM doesn't have permanent magnet, it is light weight motor and has constant power output capability which finds application primarily in space applications and Electric Vehicle because of high torque to weight ratio and low rotor inertia. It has small size, high efficiency, low cost. Hence, day by day Switched Reluctance Motor is becoming best alternative to DC and BLDC motors. In this paper MATLAB Simulink model is used to analyze controller performance. Selection of angle for region of operation to trigger the converter is explained here. With feasible approximations, nonlinear nature of SRM can be explained with its linear model having dynamic behavior, for the sake of simplicity and study purpose.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"221 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127527906","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}
Combined Heat and power (CHP) is an emerging trend in World. The conventional energy generation sources have efficiency of 35%. Coalescing Heat and Power or Co-generation makes the use of heat that is produced as by-product of a process for local and domestic uses. The current energy requirement of India is short by 23%. There are multiple heat producing industries in India like the sugar industry, pulp and paper industry, waste treatment industry, cement industry, etc. In order to meet the demand of electricity in the year 2050, India has to raise its dependency on renewable (solar) by up to 50%. Thus, the focus has also shifted to Photovoltaic CHP technology as efficient method to obtain thermal energy. Discussions on the applications of CHP concept in the above-mentioned industries is carried out in the present paper.
{"title":"Applications of CHP Concept in Major Indian Industries","authors":"Shreyas Kulkarni, Namrata Walavalkar, Harshali Sapkal","doi":"10.1109/ICCDW45521.2020.9318676","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318676","url":null,"abstract":"Combined Heat and power (CHP) is an emerging trend in World. The conventional energy generation sources have efficiency of 35%. Coalescing Heat and Power or Co-generation makes the use of heat that is produced as by-product of a process for local and domestic uses. The current energy requirement of India is short by 23%. There are multiple heat producing industries in India like the sugar industry, pulp and paper industry, waste treatment industry, cement industry, etc. In order to meet the demand of electricity in the year 2050, India has to raise its dependency on renewable (solar) by up to 50%. Thus, the focus has also shifted to Photovoltaic CHP technology as efficient method to obtain thermal energy. Discussions on the applications of CHP concept in the above-mentioned industries is carried out in the present paper.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123454545","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318712
K. Bani, V. Kulkarni
Demand of wireless users are increasing day by day, available spectrum resources should be utilized effectively. Cognitive Radio is wireless technology which configured dynamically to adapt environmental changes and change its parameters according to vacant channels. IEEE 802.22 is a standard defined for Wireless Regional Area Networking (WRAN) to utilize TV white band channels. Under the NETSIM environment, Cognitive radio network topology is made up and analyzed its various parameters like simulation time, packets transmitted, packets errored, various codecs, and throughput.
{"title":"Simulation and Analysis of IEEE 802.22 Cognitive Radio Network","authors":"K. Bani, V. Kulkarni","doi":"10.1109/ICCDW45521.2020.9318712","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318712","url":null,"abstract":"Demand of wireless users are increasing day by day, available spectrum resources should be utilized effectively. Cognitive Radio is wireless technology which configured dynamically to adapt environmental changes and change its parameters according to vacant channels. IEEE 802.22 is a standard defined for Wireless Regional Area Networking (WRAN) to utilize TV white band channels. Under the NETSIM environment, Cognitive radio network topology is made up and analyzed its various parameters like simulation time, packets transmitted, packets errored, various codecs, and throughput.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122289070","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318687
Rishabh Ashok Sanghai, Prashant Prakash Saundalkar, Jasim Amin Mallick, Bhavin I. Shah
State of the art sorting systems operated by global freight carriers or e-commerce giants are large, complicated and cost-prohibitive. Some low-cost systems are based on pneumatics and have consignment weight limitations while manual intervention is an inefficient sorting option. In this work, we are presenting ‘Sort-X’ as a system for low cost, flexible, and reliable consignment sorting system with MIMO (multiple inputs multiple outputs) sorting scheme. The inputs to Sort-X are through feed conveyor belts. These belts converge into a master feed where the consignments pass through a 2D scanner. The master feed connected to the sorting hub uses parameters such as postal code, address, shipping speed, and weight enlisted on the consignment in QR format to decide the sorting action. The hub is composed of numerous compact motorized displacement cells. Each cell has three programmable omnidirectional wheels to direct consignments to their respective destinations. Complex material flows can be accomplished in a small space using all the degrees of freedom on the displacement cells. Consignments of numerous shapes and sizes can be handled as long as they're underneath the maximum weight capacity. The gadget is designed to be bendy on the hardware and the firmware level to adapt to different sorting requirements. Individual Sort-X units can also be cascaded to obtain complex, multi-nodal sorting topologies. The mathematical technique utilized in machine design for a particular sorting operation is mentioned in this proposed research.
{"title":"Sort X Consignment Sorter using an Omnidirectional Wheel Array for the Logistics Industry","authors":"Rishabh Ashok Sanghai, Prashant Prakash Saundalkar, Jasim Amin Mallick, Bhavin I. Shah","doi":"10.1109/ICCDW45521.2020.9318687","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318687","url":null,"abstract":"State of the art sorting systems operated by global freight carriers or e-commerce giants are large, complicated and cost-prohibitive. Some low-cost systems are based on pneumatics and have consignment weight limitations while manual intervention is an inefficient sorting option. In this work, we are presenting ‘Sort-X’ as a system for low cost, flexible, and reliable consignment sorting system with MIMO (multiple inputs multiple outputs) sorting scheme. The inputs to Sort-X are through feed conveyor belts. These belts converge into a master feed where the consignments pass through a 2D scanner. The master feed connected to the sorting hub uses parameters such as postal code, address, shipping speed, and weight enlisted on the consignment in QR format to decide the sorting action. The hub is composed of numerous compact motorized displacement cells. Each cell has three programmable omnidirectional wheels to direct consignments to their respective destinations. Complex material flows can be accomplished in a small space using all the degrees of freedom on the displacement cells. Consignments of numerous shapes and sizes can be handled as long as they're underneath the maximum weight capacity. The gadget is designed to be bendy on the hardware and the firmware level to adapt to different sorting requirements. Individual Sort-X units can also be cascaded to obtain complex, multi-nodal sorting topologies. The mathematical technique utilized in machine design for a particular sorting operation is mentioned in this proposed research.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"2 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114055443","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318709
Samuel Jacob, Mandar Warde, Pratibha R. Dumane
Augmented reality has found itself as an excellent candidate to deliver content for education. There is a definite need for improved visualization when it comes to Engineering education. AR could present itself as a good candidate to do so. This paper presents the use of Augmented Reality for engineering education. The need for visualization finds itself at the core of imparting Engineering education and there are various platforms to do so. We continue the work presented in an earlier publication where we have implemented our smartbooks concept for delivering an engaging AR experience. We have presented the use of AR for delivering content for three fundamental engineering subjects: Engineering mechanics, engineering drawing and electrical engineering. We have also explored a different user interface to improve our AR content delivery. Examples for each are demonstrated and so are their use cases. Measuring the impact of using AR was a particular challenge with variable usage across students. We have defined certain metrics (engagement factor) that help us correlate usage with impact. We have measured the impact of our AR implementation through well designed questionnaires, and used the academic scores of the candidates as an output metric to measure impact. The objective of this research is to present a case for the use of AR in being a front-runner ICT technology for delivering engineering education.
{"title":"Impact of Augmented Reality as an ICT tool to Deliver Engineering Education Content","authors":"Samuel Jacob, Mandar Warde, Pratibha R. Dumane","doi":"10.1109/ICCDW45521.2020.9318709","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318709","url":null,"abstract":"Augmented reality has found itself as an excellent candidate to deliver content for education. There is a definite need for improved visualization when it comes to Engineering education. AR could present itself as a good candidate to do so. This paper presents the use of Augmented Reality for engineering education. The need for visualization finds itself at the core of imparting Engineering education and there are various platforms to do so. We continue the work presented in an earlier publication where we have implemented our smartbooks concept for delivering an engaging AR experience. We have presented the use of AR for delivering content for three fundamental engineering subjects: Engineering mechanics, engineering drawing and electrical engineering. We have also explored a different user interface to improve our AR content delivery. Examples for each are demonstrated and so are their use cases. Measuring the impact of using AR was a particular challenge with variable usage across students. We have defined certain metrics (engagement factor) that help us correlate usage with impact. We have measured the impact of our AR implementation through well designed questionnaires, and used the academic scores of the candidates as an output metric to measure impact. The objective of this research is to present a case for the use of AR in being a front-runner ICT technology for delivering engineering education.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129150039","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318635
Renuka Nagpure, S. Chandak, Nileema Pathak
Now-a-days Breast cancer is one of the serious issues for women when compared to all other cancers. In India Breast cancer risk revealed that 1 in 28 women cause to grow and become more mature breast cancer during her lifetime. Breast cancer begins when cells in the breast use to grow or start to grow out of control and it advances from breast tissue. These cells usually form a tumor that can often be seen on a mammogram or felt as a lump. If cells can grow into (invade) surrounding tissues or spread (metastasize) to distant areas of the body then the tumor is malignant(cancer). Breast cancer occurs in both women and men. In India the average age is the very great extent of cancer in the age group of 43–46 years unlike in the Western where women aged 53–57 years are more likely to suffer from breast cancer. This paper includes uses of various Data Mining along with neural networks to identify the presence of breast cancer at early stages and diagnose it efficiently.
{"title":"Breast Cancer Detection using Neural Network Mammogram","authors":"Renuka Nagpure, S. Chandak, Nileema Pathak","doi":"10.1109/ICCDW45521.2020.9318635","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318635","url":null,"abstract":"Now-a-days Breast cancer is one of the serious issues for women when compared to all other cancers. In India Breast cancer risk revealed that 1 in 28 women cause to grow and become more mature breast cancer during her lifetime. Breast cancer begins when cells in the breast use to grow or start to grow out of control and it advances from breast tissue. These cells usually form a tumor that can often be seen on a mammogram or felt as a lump. If cells can grow into (invade) surrounding tissues or spread (metastasize) to distant areas of the body then the tumor is malignant(cancer). Breast cancer occurs in both women and men. In India the average age is the very great extent of cancer in the age group of 43–46 years unlike in the Western where women aged 53–57 years are more likely to suffer from breast cancer. This paper includes uses of various Data Mining along with neural networks to identify the presence of breast cancer at early stages and diagnose it efficiently.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123403038","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318646
Aruna Pavate, A. Chaudhary, P. Nerurkar, Priti Mishra, Mansi Shah
To help in growth of businesses it is necessary to do detailed analysis about the customer preferences as well as analysis of sales, products purchase and suggestions of right contents to the user. There are many recommendations systems are available from product recommendation to content recommendations. This works presents a meal classification and recommendation system involving restaurant-related reviews obtained from the real world. Now a day a huge range of options are available for the user to order their foods. There are lots of recommendation systems are available from shopping to recreations. Cuisine is one territory where there is a major chance to suggest meal of customer's choices which helps to save their lot of efforts, time and money. In this work restaurant review analysis and cuisine recommendation proposed using SVM supervised learning algorithm and the functioning of the system analyzed. The proposed method implemented, evaluated on the real world data set and an experimental results gives an average precision, recall and F1-score around 91% which shows the effectiveness of the system in recommendation of meal.
{"title":"Cuisine Recommendation, Classification and Review Analysis using Supervised Learning","authors":"Aruna Pavate, A. Chaudhary, P. Nerurkar, Priti Mishra, Mansi Shah","doi":"10.1109/ICCDW45521.2020.9318646","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318646","url":null,"abstract":"To help in growth of businesses it is necessary to do detailed analysis about the customer preferences as well as analysis of sales, products purchase and suggestions of right contents to the user. There are many recommendations systems are available from product recommendation to content recommendations. This works presents a meal classification and recommendation system involving restaurant-related reviews obtained from the real world. Now a day a huge range of options are available for the user to order their foods. There are lots of recommendation systems are available from shopping to recreations. Cuisine is one territory where there is a major chance to suggest meal of customer's choices which helps to save their lot of efforts, time and money. In this work restaurant review analysis and cuisine recommendation proposed using SVM supervised learning algorithm and the functioning of the system analyzed. The proposed method implemented, evaluated on the real world data set and an experimental results gives an average precision, recall and F1-score around 91% which shows the effectiveness of the system in recommendation of meal.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126203220","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 : 2020-02-18DOI: 10.1109/ICCDW45521.2020.9318697
Deepa Chakravarty, Debasish Pradhan
Image segmentation is an important topic in the field of computer vision and image processing. It is also of major significance in the area of medical imaging. Segmenting medical images with thin tube-like structures is a major challenge. The model proposed in this paper can be used to obtain a desired segmented result from an image having vessel or tubular features. This model uses the concept of solving Mumford-Shah model to obtain a smooth image. This smoothened image is segmented using the idea of Tight-Frame-based Algorithm with Eigenvector (TFAE). This hybrid method gives better segmented results than that of TFAE method alone. The given model also works well with noised images. The proposed method has been implemented on images with and without noise. The result obtained by this method has been further compared with existing models.
{"title":"Segmentation of Images with Tubular Features based on Tight-Frame Technique","authors":"Deepa Chakravarty, Debasish Pradhan","doi":"10.1109/ICCDW45521.2020.9318697","DOIUrl":"https://doi.org/10.1109/ICCDW45521.2020.9318697","url":null,"abstract":"Image segmentation is an important topic in the field of computer vision and image processing. It is also of major significance in the area of medical imaging. Segmenting medical images with thin tube-like structures is a major challenge. The model proposed in this paper can be used to obtain a desired segmented result from an image having vessel or tubular features. This model uses the concept of solving Mumford-Shah model to obtain a smooth image. This smoothened image is segmented using the idea of Tight-Frame-based Algorithm with Eigenvector (TFAE). This hybrid method gives better segmented results than that of TFAE method alone. The given model also works well with noised images. The proposed method has been implemented on images with and without noise. The result obtained by this method has been further compared with existing models.","PeriodicalId":282429,"journal":{"name":"2020 International Conference on Convergence to Digital World - Quo Vadis (ICCDW)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126013838","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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