Zobrazeno 1 - 10 of 253 pro vyhledávání: '"Sudeep D Thepade"'
1
Akademický článek
Improved Classification of Histopathological images using the feature fusion of Thepade sorted block truncation code and Niblack thresholding
Autor: Sudeep D Thepade, Abhijeet Bhushari
Publikováno v: ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 22, Iss 1 (2023)
Histopathology is the study of disease-affected tissues, and it is particularly helpful in diagnosis and figuring out how severe and rapidly a disease is spreading. It also demonstrates how to recognize a variety of human tissues and analyze the alte
Externí odkaz: https://doaj.org/article/d7a8f431a8c84685b0856ffb67ec8656
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2
Akademický článek
Color Image Visual Secret Sharing with Expressive Shares using Color to Gray & Back and Cosine Transform
Autor: Ratnesh Naresh Chaturvedi, Sudeep D Thepade, Swati Ahirrao
Publikováno v: ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 22, Iss 1 (2023)
Color Visual Secret Sharing (VSS) is an essential form of VSS. It is so because nowadays, most people like to share visual data as a color image. There are color VSS schemes capable of dealing with halftone color images or color images with selected
Externí odkaz: https://doaj.org/article/c28aed8c4986492093c40f7fdbd5fc99
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3
Akademický článek
Covid19 Identification from Chest X-ray Images using Machine Learning Classifiers with GLCM Features
Autor: Sudeep D Thepade, Shalakha V Bang, Piyush R Chaudhari, Mayuresh R Dindorkar
Publikováno v: ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 19, Iss 3 (2020)
From staying quarantined at home, practicing work from home to moving outside wearing masks and carrying sanitizers, every individual has now become so adaptive to so called ‘New Normal’ post series of lockdowns across the countries. The situatio
Externí odkaz: https://doaj.org/article/bc4001c3d03443f1a547b7f6759d5cd8
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4
Akademický článek
Haar Hybrid Transform Based Melanoma Identification Using Ensemble of Machine Learning Algorithms
Autor: Sudeep D Thepade, Gaurav Ramnani, Shubham Mandhare
Publikováno v: ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 19, Iss 3 (2020)
Traditional methods of disease diagnosis can be time-intensive, error prone and invasive to the subject. These methods are also prejudiced by the doctor’s subjectivity. These issues can be resolved by using automated diagnosis methods. There is a c
Externí odkaz: https://doaj.org/article/2055d11c0f814bd18032d5bebe8c349d
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5
Akademický článek
Fusing deep convolutional neural network features with Thepade’s SBTC for land usage identification
Autor: Sudeep D. Thepade, Mayuresh R. Dindorkar
Publikováno v: Engineering Science and Technology, an International Journal, Vol 27, Iss , Pp 101014- (2022)
Rapid progress in deep learning (DL) is benefitting almost all fields including ‘Remote Sensing’. Until now several deep convolutional neural networks (DCNN) are proposed, every one of them gives distinct results according to its depth as well as
Externí odkaz: https://doaj.org/article/06743d6042ae4c83814a743a5ba7c299
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10
Akademický článek
Detection of Iris Presentation Attacks Using Feature Fusion of Thepade’s Sorted Block Truncation Coding with Gray-Level Co-Occurrence Matrix Features
Autor: Smita Khade, Shilpa Gite, Sudeep D. Thepade, Biswajeet Pradhan, Abdullah Alamri
Publikováno v: Sensors, Vol 21, Iss 21, p 7408 (2021)
Iris biometric detection provides contactless authentication, preventing the spread of COVID-19-like contagious diseases. However, these systems are prone to spoofing attacks attempted with the help of contact lenses, replayed video, and print attack
Externí odkaz: https://doaj.org/article/ce66a80ecb1c4e7596ebfe8428bd4fa7
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