Pub Date : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073826
Shakil Ahmed Jiskani, Iftikhar Ahmed Chandio, Ghazanfar Mehdi, A. Memon, Abdul Raqeeb Bhutto, Urooj Gul Sandilo
Now a days in the agriculture sector, agricultural drying has great importance. As compared to the open sun drying, a solar dryer has faster drying rates and it can remove moisture from vegetables and fruits in very short time. This study presents the very convenient method by using direct type passive solar dryer for drying of chilies and grapes. By removing moisture life of fruits and vegetables can be enhanced and these can be used and conserved for long time. This drying technique not only evaporates but also provides a controlled and safe storage of products. A closed wooden casing along with glass and black colored metallic sheet was employed to achieve the maximum temperature. An average inside air temperature of 60-70°C was achieved, whereas an average outside air temperature of 33-44°C was noted in the months of October and November. Solar illuminance was measured by lux meter. The maximum values for illuminance was in between 8000-12000 lux from 10:30 am to 4:30 am. 20-40% moisture lost per day for three days of drying session. Chilies and grapes were used as a test product. For chilies 85% of moisture was evaporated in 15 hours, while maximum inside air temperature gained inside the dryer was 70 °C. And for Grapes 75% moisture was dehydrated in 15 hours, while maximum inside air temperature noted within the dryer was 68°C.
{"title":"Fabrication & performance analysis of direct type passive solar dryer for chilies and grapes drying","authors":"Shakil Ahmed Jiskani, Iftikhar Ahmed Chandio, Ghazanfar Mehdi, A. Memon, Abdul Raqeeb Bhutto, Urooj Gul Sandilo","doi":"10.1109/iCoMET48670.2020.9073826","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073826","url":null,"abstract":"Now a days in the agriculture sector, agricultural drying has great importance. As compared to the open sun drying, a solar dryer has faster drying rates and it can remove moisture from vegetables and fruits in very short time. This study presents the very convenient method by using direct type passive solar dryer for drying of chilies and grapes. By removing moisture life of fruits and vegetables can be enhanced and these can be used and conserved for long time. This drying technique not only evaporates but also provides a controlled and safe storage of products. A closed wooden casing along with glass and black colored metallic sheet was employed to achieve the maximum temperature. An average inside air temperature of 60-70°C was achieved, whereas an average outside air temperature of 33-44°C was noted in the months of October and November. Solar illuminance was measured by lux meter. The maximum values for illuminance was in between 8000-12000 lux from 10:30 am to 4:30 am. 20-40% moisture lost per day for three days of drying session. Chilies and grapes were used as a test product. For chilies 85% of moisture was evaporated in 15 hours, while maximum inside air temperature gained inside the dryer was 70 °C. And for Grapes 75% moisture was dehydrated in 15 hours, while maximum inside air temperature noted within the dryer was 68°C.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"276 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132753024","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073866
K. Zakaria, S. Hafeez
The BS equations with fractional order two asset price model give the better prediction of options pricing in the monetary market. In this paper, the changed form of BS-condition with two asset price models dependent on the Liovelle-Caputo derivative for good predictions of options prices is utilized. The analytical solution is demonstrated in form of convergent infinite series and obtained by the properties of Samdu Transform.
{"title":"Options Pricing for Two Stocks by Black – Sholes Time Fractional Order Non – Linear Partial Differential Equation","authors":"K. Zakaria, S. Hafeez","doi":"10.1109/iCoMET48670.2020.9073866","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073866","url":null,"abstract":"The BS equations with fractional order two asset price model give the better prediction of options pricing in the monetary market. In this paper, the changed form of BS-condition with two asset price models dependent on the Liovelle-Caputo derivative for good predictions of options prices is utilized. The analytical solution is demonstrated in form of convergent infinite series and obtained by the properties of Samdu Transform.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127755798","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073820
S. Rehman, Muhammad U. S. Khan, Mazhar Ali
The blockchain is an intelligent and cryptographically secure technology. Blockchain provides data integrity, security, and anonymity without any third-party enabling immutable database technology with a built-in trust mechanism. In this paper, we focused on utilizing blockchain technology for proving the origin of digital media by enhancing the functionality of an existing solution. This research improves the functionality of the existing solution by using perceptual hashing. Perceptual hashing ables to differentiate similar digital media and ensures the explicit relationship between the digital media and the content creator. Experimental results show that perceptual hashing gives better performance in the detection of image alteration and sensitive to small changes.
{"title":"Blockchain-Based Approach for Proving the Source of Digital Media","authors":"S. Rehman, Muhammad U. S. Khan, Mazhar Ali","doi":"10.1109/iCoMET48670.2020.9073820","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073820","url":null,"abstract":"The blockchain is an intelligent and cryptographically secure technology. Blockchain provides data integrity, security, and anonymity without any third-party enabling immutable database technology with a built-in trust mechanism. In this paper, we focused on utilizing blockchain technology for proving the origin of digital media by enhancing the functionality of an existing solution. This research improves the functionality of the existing solution by using perceptual hashing. Perceptual hashing ables to differentiate similar digital media and ensures the explicit relationship between the digital media and the content creator. Experimental results show that perceptual hashing gives better performance in the detection of image alteration and sensitive to small changes.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"302 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133746680","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073924
Adil Aziz, F. Azam, Muhammad Talha Riaz, Muhammad Waseem Anwar
Blockchain nodes are essential part of a blockchain network. The quality of blockchain nodes are very crucial as these are building blocks of a network. The failure of nodes may lead to the failure of network. In this paper we have discussed the meta-model for stress testing on blockchain nodes, which will test blockchain nodes. Meta-model is based on UML 2.0. It is destined to be worked on all blockchain networks with minor changes.
{"title":"Meta-model for Stress Testing on Blockchain Nodes","authors":"Adil Aziz, F. Azam, Muhammad Talha Riaz, Muhammad Waseem Anwar","doi":"10.1109/iCoMET48670.2020.9073924","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073924","url":null,"abstract":"Blockchain nodes are essential part of a blockchain network. The quality of blockchain nodes are very crucial as these are building blocks of a network. The failure of nodes may lead to the failure of network. In this paper we have discussed the meta-model for stress testing on blockchain nodes, which will test blockchain nodes. Meta-model is based on UML 2.0. It is destined to be worked on all blockchain networks with minor changes.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114429956","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073891
Abdul Bassit Surahio, Saima Hafeez, Nafeesa Bohra
In this paper the millimeter-wave cellular communication is analyzed and simulated for the fifth-generation (5G) communication using broadband statistical spatial channel model (SSCM). This model is simulated in NYUSIM developed by research group in New York University which support the wideband carrier frequencies from 500 MHz to 100 GHz with bandwidth in the range of 0 MHz to 800 MHz. Microcells, beamforming and other similar techniques are needed to reduce the losses as the millimeter-wave are unable to travel over longer distances. Millimeter-wave frequency of 28 GHz is initially considered here and its effects on communication due to different environmental parameters such as temperature, relative humidity and rain rate in cities like Hyderabad, Karachi and Islamabad are observed while varying cell sizes. Parameters like received power, pathloss and pathloss exponent are analyzed to predict best suitable cell size in different cities environments.
{"title":"Analyzing Indoor/Outdoor Environmental Effects with Varying Cell Size on 5G Millimeter-Wave Propagation","authors":"Abdul Bassit Surahio, Saima Hafeez, Nafeesa Bohra","doi":"10.1109/iCoMET48670.2020.9073891","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073891","url":null,"abstract":"In this paper the millimeter-wave cellular communication is analyzed and simulated for the fifth-generation (5G) communication using broadband statistical spatial channel model (SSCM). This model is simulated in NYUSIM developed by research group in New York University which support the wideband carrier frequencies from 500 MHz to 100 GHz with bandwidth in the range of 0 MHz to 800 MHz. Microcells, beamforming and other similar techniques are needed to reduce the losses as the millimeter-wave are unable to travel over longer distances. Millimeter-wave frequency of 28 GHz is initially considered here and its effects on communication due to different environmental parameters such as temperature, relative humidity and rain rate in cities like Hyderabad, Karachi and Islamabad are observed while varying cell sizes. Parameters like received power, pathloss and pathloss exponent are analyzed to predict best suitable cell size in different cities environments.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125818135","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9074059
Javaria Hameed, Rabiya Khalid, M. Javed, Sakeena Javaid, Sheeraz Ahmed, N. Javaid
In this paper, an accurate electricity load and price forecasting model has been proposed, which consists of feature engineering and classification. To remove irrelevant features, Decision Tree (DT) and Recursive Feature Elimination (RFE) are used. Features are extracted through Mutual Information (MI) after removing uncertainty. In order to attain accurate electricity load and price forecasting, Enhanced Logistic Regression (ELR) classifier is proposed. Simulation results testify that accuracy of ELR is better than Logistic Regression (LR) and MultiLayer Percepton (MLP). ELR beats LR and MLP by 0.26% and 7.287% in load forecasting, whereas, it outperforms LR and MLP in price forecasting by 1.413% and 3.057%, respectively. Smart* dataset is used, which contains the data of residential sector of Western Massachusetts. Prediction performance is evaluated by using Mean Absolute Error (MAE), Mean Square Error (MSE), Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE).
{"title":"Enhanced Classification with Logistic Regression for Short Term Price and Load Forecasting in Smart Homes","authors":"Javaria Hameed, Rabiya Khalid, M. Javed, Sakeena Javaid, Sheeraz Ahmed, N. Javaid","doi":"10.1109/iCoMET48670.2020.9074059","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9074059","url":null,"abstract":"In this paper, an accurate electricity load and price forecasting model has been proposed, which consists of feature engineering and classification. To remove irrelevant features, Decision Tree (DT) and Recursive Feature Elimination (RFE) are used. Features are extracted through Mutual Information (MI) after removing uncertainty. In order to attain accurate electricity load and price forecasting, Enhanced Logistic Regression (ELR) classifier is proposed. Simulation results testify that accuracy of ELR is better than Logistic Regression (LR) and MultiLayer Percepton (MLP). ELR beats LR and MLP by 0.26% and 7.287% in load forecasting, whereas, it outperforms LR and MLP in price forecasting by 1.413% and 3.057%, respectively. Smart* dataset is used, which contains the data of residential sector of Western Massachusetts. Prediction performance is evaluated by using Mean Absolute Error (MAE), Mean Square Error (MSE), Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE).","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125939974","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073932
A. Bilal, S. M. Hamza, Ziauddin Taj, S. Salamat, M. Abbas
Synthetic Aperture Radar uses radar movement for target identification and is commonly used in airborne radar systems for various applications such as oceanography, glaciology and military surveillance. On the contrary, for range-cross range profiling, Inverse Synthetic Aperture Radar exploits the target motion and is employed in ground based radar systems. In this work, ISAR imaging of two stealth fighter aircraft models is performed by reformatting the scattered field data from a polar grid to a Cartesian grid using the nearest neighbor interpolation method. Although numerical noise generated by this interpolation is unavoidable, a comparison of experimental and simulation results shows that this method can be used for identification of major scattering centers on low observable targets.
{"title":"ISAR Imaging using FFT with Polar Reformatting of Measured RCS","authors":"A. Bilal, S. M. Hamza, Ziauddin Taj, S. Salamat, M. Abbas","doi":"10.1109/iCoMET48670.2020.9073932","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073932","url":null,"abstract":"Synthetic Aperture Radar uses radar movement for target identification and is commonly used in airborne radar systems for various applications such as oceanography, glaciology and military surveillance. On the contrary, for range-cross range profiling, Inverse Synthetic Aperture Radar exploits the target motion and is employed in ground based radar systems. In this work, ISAR imaging of two stealth fighter aircraft models is performed by reformatting the scattered field data from a polar grid to a Cartesian grid using the nearest neighbor interpolation method. Although numerical noise generated by this interpolation is unavoidable, a comparison of experimental and simulation results shows that this method can be used for identification of major scattering centers on low observable targets.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"1138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127344622","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9073895
M. Hashmani, Muhammad Umair, Syed Sajjad Hussain Rizvi, Abdul Rehman Gilal
Sea and sky boundary identification (i.e. marine horizon line detection) from a marine image is a problem of great interest for reasons such as, unmanned surface or aerial vehicle navigation, surveillance by object detection and tracking, and determining the spatial orientation of the ship. Due to the complexity of the marine environment, the problem poses its own unique challenges. In recent years, different methods have been proposed by the researchers to solve the problem. Those methods can be grouped into two categories; (i) edge detection based horizon detection, and (ii) machine learning-based horizon detection. In this paper, we present a survey on edge detection based recent marine horizon line detection methods and their applications. We have selected studies from the previous three years and discussed each study’s approach to marine horizon line detection issue, the datasets used for testing purposes and its results. The authors’ observations for each study are presented with a recommendation for their suitability for a specific application in the marine environment. Findings of the survey and future research directions for the researchers are also identified and presented. We hope that this survey paper provides a comprehensive overview of edge detection based recent marine horizon line detection methods and help the researchers in exploring new solutions to this challenging problem.
{"title":"A Survey on Edge Detection based recent Marine Horizon Line Detection Methods and their Applications","authors":"M. Hashmani, Muhammad Umair, Syed Sajjad Hussain Rizvi, Abdul Rehman Gilal","doi":"10.1109/iCoMET48670.2020.9073895","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9073895","url":null,"abstract":"Sea and sky boundary identification (i.e. marine horizon line detection) from a marine image is a problem of great interest for reasons such as, unmanned surface or aerial vehicle navigation, surveillance by object detection and tracking, and determining the spatial orientation of the ship. Due to the complexity of the marine environment, the problem poses its own unique challenges. In recent years, different methods have been proposed by the researchers to solve the problem. Those methods can be grouped into two categories; (i) edge detection based horizon detection, and (ii) machine learning-based horizon detection. In this paper, we present a survey on edge detection based recent marine horizon line detection methods and their applications. We have selected studies from the previous three years and discussed each study’s approach to marine horizon line detection issue, the datasets used for testing purposes and its results. The authors’ observations for each study are presented with a recommendation for their suitability for a specific application in the marine environment. Findings of the survey and future research directions for the researchers are also identified and presented. We hope that this survey paper provides a comprehensive overview of edge detection based recent marine horizon line detection methods and help the researchers in exploring new solutions to this challenging problem.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128996600","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 : 2020-01-01DOI: 10.1109/iCoMET48670.2020.9074097
B. Shah, Zamra Sultan, Z. Rizvi, Munnaza Iqbal, Usama Bin Zaheer, Syed Huzaif Shah, Samiya Khaliq, Shahrukh Zia, B. Khan, Sajjad Haider Zaidi
Brain–Computer Interface (BCI) is a channel of communication between a brain and a machine. It is based on the interpretation of the electrical activity of mind and can be used to direct any external action such as control of a wheelchair. This paper discusses the development of a cost effective, efficient, non-invasive and easy to use multiclass BCI. For this self-acquired Electroencephalography (EEG) signals of different cognitive actions recorded over cerebral cortexes of different people are analyzed and then classified using Linear Discriminant Analysis (LDA). These classified signals are used to control the movement of a self-developed prototype of stretcher via a microcontroller. Stretcher in the proposed model can be replaced by any other machine and that machine can be controlled directly by brain. Hence this novel model can be used to develop brain-controlled devices for normal people as well as for People with Disability (PWD).
{"title":"Brain Computer Interface Implementation on Cognitive States","authors":"B. Shah, Zamra Sultan, Z. Rizvi, Munnaza Iqbal, Usama Bin Zaheer, Syed Huzaif Shah, Samiya Khaliq, Shahrukh Zia, B. Khan, Sajjad Haider Zaidi","doi":"10.1109/iCoMET48670.2020.9074097","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9074097","url":null,"abstract":"Brain–Computer Interface (BCI) is a channel of communication between a brain and a machine. It is based on the interpretation of the electrical activity of mind and can be used to direct any external action such as control of a wheelchair. This paper discusses the development of a cost effective, efficient, non-invasive and easy to use multiclass BCI. For this self-acquired Electroencephalography (EEG) signals of different cognitive actions recorded over cerebral cortexes of different people are analyzed and then classified using Linear Discriminant Analysis (LDA). These classified signals are used to control the movement of a self-developed prototype of stretcher via a microcontroller. Stretcher in the proposed model can be replaced by any other machine and that machine can be controlled directly by brain. Hence this novel model can be used to develop brain-controlled devices for normal people as well as for People with Disability (PWD).","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130659368","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}
Vessels appearance and their morphological features play a vital part in timely treatment of numerous diseases, such as vein occlusions and diabetic retinopathy. This paper presents a detailed comparison of three recently developed vessel segmentation algorithms in terms of Accuracy (Acc), Sensitivity (Se), and Specificity (Sp) on two publicly available DRIVE and STARE datasets. Our simulations indicate that for high image resolution of 400×500 pixels or above and on DRIVE dataset the frangi and Otsu thresholding based vessel segmentation algorithm yields the highest Accuracy. Whereas on STARE dataset, Unet based convolutional neural network based vessel segmentation algorithm outperforms the compared algorithms at the cost of higher computational time.
{"title":"A Comparative Study of Automatic Vessel Segmentation Algorithms","authors":"Owais Ali, Nazeer Muhammad, Zainab Jadoon, Bibi Misbah Kazmi, Nayab Muzamil, Z. Mahmood","doi":"10.1109/iCoMET48670.2020.9074073","DOIUrl":"https://doi.org/10.1109/iCoMET48670.2020.9074073","url":null,"abstract":"Vessels appearance and their morphological features play a vital part in timely treatment of numerous diseases, such as vein occlusions and diabetic retinopathy. This paper presents a detailed comparison of three recently developed vessel segmentation algorithms in terms of Accuracy (Acc), Sensitivity (Se), and Specificity (Sp) on two publicly available DRIVE and STARE datasets. Our simulations indicate that for high image resolution of 400×500 pixels or above and on DRIVE dataset the frangi and Otsu thresholding based vessel segmentation algorithm yields the highest Accuracy. Whereas on STARE dataset, Unet based convolutional neural network based vessel segmentation algorithm outperforms the compared algorithms at the cost of higher computational time.","PeriodicalId":431051,"journal":{"name":"2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131949738","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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