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ELCVIA : Electronic Letters on Computer Vision and Image Analysis
ELCVIA (ISSN electrónico 1577-5097) es una revista exclusivamente electrónica conocida a nivel internacional sobre investigación y aplicaciones de la visión por computadora y el análisis de imágenes. Su comité editorial está formado por expertos reconocidos internacionalmente. Todos los artículos son revisados por especialistas mediante peer-review y actualmente tiene un porcentaje de aceptación del 25% de los artículos recibidos. Los principales objetivos de la revista son:
  • Ser una revista de referencia a nivel internacional en el campo de la Visión por Computador.
  • Ser una publicación de calidad.
  • Ser un medio de comunicación rápido y dinámico, con una revisión rápida de los artículos.
  • Tener índice de impacto dentro de la base de datos de SCI.
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2024-04-24
06:00
14 p, 1.2 MB A multimodal biometric authentication system using of autoencoders and Siamese networks for enhanced security / Kerkeni, Leila (Capgemini engineering (FRança)) ; Gueuret, Théo (University Gustave Eiffel (França))
Ensuring secure and reliable identity verification is crucial, and biometric authentication plays a significant role in achieving this. However, relying on a single biometric trait, unimodal authentication, may have accuracy and attack vulnerability limitations. [...]
2024 - 10.5565/rev/elcvia.1811
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 23 Núm. 1 (2024) , p. 1-14 (Regular Issue)  
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2024-03-16
09:25
16 p, 867.9 KB ERNet : Enhanced ResNet for classification of breast histopathological images / Chandana, Mani RK (Vellore Institute of Technology. School of Information Technology and Engineering (Índia)) ; Kamalakannan, J. (Vellore Institute of Technology. School of Information Technology and Engineering (Índia))
Inspite of expeditious approaches in field of breast cancer, histopathological analysis is considered as gold standard in diagnosis of cancer. Researchers are working tremendously to automate the detection and analysis of breast histology images, which confess in improving the accuracy and also induce the mimisation of processing time. [...]
2023 - 10.5565/rev/elcvia.1614
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 22 Núm. 2 (2023) , p. 53-68 (Regular Issue)  
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2024-03-16
09:25
12 p, 489.1 KB Robust fingerprint recognition approach based on diagonal slice of polyspectra in the polar space / Ismaili Alaoui, E.M. (University of Moulay Ismail. Faculty of Sciences (Meknès, Marroc))
Although fingerprint recognition is a mature technology and nowadays commercial state-of-the-art systems can be successfully used in a number of real applications, not all the problems have been solved and the research is still very active in the field. [...]
2023 - 10.5565/rev/elcvia.1523
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 22 Núm. 2 (2023) , p. 41-52 (Regular Issue)  
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2024-02-17
09:18
14 p, 1.3 MB Image-based Mangifera Indica Leaf Disease Detection using Transfer Learning for Deep Learning Methods / Dhawan, Kshitij (Vellore Institute of Technology School of Information Technology and Engineering (Índia)) ; Ramalingam, Srinivasa Perumal (Vellore Institute of Technology School of Information Technology and Engineering (Índia)) ; Ramu Krishnansh, Nadesh (Vellore Institute of Technology School of Information Technology and Engineering (Índia))
Mangifera Indica, ordinarily known as mango, comes from a large tree. The leaf of the mango tree has human health benefits; the mango leaf extract is used for curing various diseases, including patients with cancer and diabetes. [...]
Mangifera Indica, ordinarily known as mango, comes from a large tree. The leaf of the mango treehas human health benefits; the mango leaf extract is used for curing various diseases, including patientswith cancer and diabetes. [...]
2023 - 10.5565/rev/elcvia.1660
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 22 Núm. 2 (2023) , p. 27-40 (Regular Issue)  
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2024-01-21
04:29
14 p, 664.7 KB On Performance Analysis Of Diabetic Retinopathy Classification / Sivakumar, Sanjayprabu (Sri Ramakrishna Mission Vidyalaya College of Arts and Science (Coimbatore, Índia)) ; Rangasamy, Sathish Kumar (Sri Ramakrishna Mission Vidyalaya College of Arts and Science (Coimbatore, Índia)) ; Jafari,Saeid (College of Vestsjaelland South, Mathematical and Physical Science Foundation (Slagelse, Dinamarca)) ; Karthikamani, Ramamoorthy (Sri Ramakrishna Engineering College (Coimbatore, Índia))
This paper describes the Classification of bulk OCT retinal fundus images of normal and diabetic retinopathy using the Intensity histogram features, Gray Level Co-Occurrence Matrix (GLCM), and the Gray Level Run Length Matrix (GLRLM) feature extraction techniques. [...]
2023 - 10.5565/rev/elcvia.1677
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 22 Núm. 2 (2023) , p. 12-25 (Regular Issue)  
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2023-11-01
10:52
16 p, 4.8 MB Shot Classification for Human Behavioural Analysis in Video Surveillance Applications / Shebiah, R, Newlin (Mepco Schlenk Engineering College (Sivakasi, Índia)) ; Arivazhagan, S. (Mepco Schlenk Engineering College (Sivakasi, Índia))
Human behavior analysis plays a vital role in ensuring security and safety of people in crowded public places against diverse contexts like theft detection, violence prevention, explosion anticipation etc. [...]
2023 - 10.5565/rev/elcvia.1713
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 22 Núm. 2 (2023) , p. 1-16 (Regular Issue)  
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2023-10-21
10:56
11 p, 946.4 KB Enhanced SVM based Covid 19 detection system using efficient transfer learning algorithms / Lati, Abdelhai (University Kasdi Merbah Ouargla) ; Bensid, Khaled (University Kasdi Merbah Ouargla) ; Lati, Ibtissem (University Kasdi Merbah Ouargla) ; Gezzal, Chahra (University Kasdi Merbah Ouargla)
The detection of the novel coronavirus disease (COVID-19) has recently become a critical task for medical diagnosis. Knowing that deep Learning is an advanced area of machine learning that has gained much of interest, especially convolutional neural network. [...]
2023 - 10.5565/rev/elcvia.1601
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 22 Núm. 1 (2023) , p 77-88 (Regular Issue)  
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2023-07-01
05:59
16 p, 1.4 MB Infrared Thermography for seal defects detection on packaged products : unbalanced machine learning classification with iterative digital image restoration / Guillot, Victor (Thimonnier)
Non-destructive and online defect detection on seals is increasingly being deployed in packaging processes, especially for food and pharmaceutical products. It is a key control step in these processes as it curtails the costs of these defects. [...]
2023 - 10.5565/rev/elcvia.1567
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 22 Núm. 1 (2023) , p. 35-51 (Regular Issue)  
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2023-07-01
05:59
20 p, 1.0 MB Improved Classification of Histopathological Uimages using the feature fusion of Thepade Sorted Block Truncation Code and Niblack Thresholding / Thepade, Sudeep D. (Savitribai Phule Pune University. Department of Computer Engineering) ; Bhushari, Abhijeet (Savitribai Phule Pune University. Department of Computer Engineering)
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 alterations brought on by sickness. [...]
2023 - 10.5565/rev/elcvia.1644
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 22 Núm. 1 (2023) , p. 15-34 (Regular Issue)  
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2023-07-01
05:58
19 p, 1.6 MB Deep Learning-based Detection, Segmentation of Prostate Cancer from mp-MRI Images / Bouslimi, Yahya (University of Tunis) ; Ben Aïcha, Takwa (University of Tunis) ; Kacem Echi, Afef (University of Tunis)
Prostate Cancer (PCa) is one of the most common diseases in adult males. Currently, mp-MRI imaging represents the most promising technique for screening, diagnosing, and managing this cancer. However, the multiple mp-MRI sequences' visual interpretation is not straightforward and may present crucial inter-reader variability in the diagnosis, especially when the images contradict each other. [...]
2023 - 10.5565/rev/elcvia.1620
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 22 Núm. 1 (2023) , p. 52-70 (Regular Issue)  
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