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.
Estadísticas de uso Los más consultados
Últimas adquisiciones:
2019-07-02
06:44
15 p, 7.8 MB An Adaptive Non-linear Statistical Salt-and-Pepper Noise Removal Algorithm using Interquartile Range / Halder, Amiya (St. Thomas College of Engineering and Technology (Índia). Department of Computer Science and Engineering) ; Bhattacharya, Pritam (St. Thomas College of Engineering and Technology (Índia). Department of Computer Science and Engineering) ; Sarkarb, Apurba (IIEST Shibpuer (Índia). Department of Computer Science and Technology)
This paper presents a salt-and-pepper noise removal scheme using modified mean filter. The proposed method is based on a simple basic concepts of mean filter, where each mean value is calculated from the mathematical formula of interquartile range (IQR). [...]
2019 - 10.5565/rev/elcvia.1145
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 18 Núm. 1 (2019) , p. 76-91 (Regular Issue)  
2019-07-02
06:44
24 p, 1.9 MB Automatic Date Fruit Recognition Using Outlier Detection Techniques and Gaussian Mixture Models / Aiadi, Oussama (University of Kasdi Marbah (Ouargla, Algèria.) LAGE Laboratory) ; Kherfi, Mohammed Lamine (Université du Québec à Trois-Rivières. LAMIA Laboratory) ; Khaldi, Belal (University of Kasdi Marbah (Ouargla, Algèria.) LAGE Laboratory)
In this paper, we propose a method for automatically recognizing different date varieties. The presence of outlier samples could significantly degrade the recognition outcomes. Therefore, we separately prune samples of each variety from outliers using the Pruning Local Distance-based Outlier Factor (PLDOF) method. [...]
2019 - 10.5565/rev/elcvia.1041
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 18 Núm. 1 (2019) , p. 52-75 (Regular Issue)  
2019-06-18
08:24
15 p, 829.0 KB Automated Leaf Alignment and Partial Shape Feature Extraction for Plant Leaf Classification / Hamid, Laith Emad (Universiti Putra Malaysia (Selangor, Malàisia). Department of Computer and Communication System Engineering) ; Al-Haddad, Syed Abdul Rahman (Universiti Putra Malaysia (Selangor, Malàisia). Department of Computer and Communication System Engineering)
The last few decades have witnessed various approaches to automate the process of plant classification using the characteristics of the leaf. Several approaches have been proposed, and the majority focused on global shape features. [...]
2019 - 10.5565/rev/elcvia.1143
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 18 Núm. 1 (2019) , p. 37-51 (Regular Issue)  
2019-06-18
08:24
18 p, 690.5 KB Probability-Possibility Theories Based Iris Biometric Recognition System / Bellaaj, Majd (Sfax University (Tunísia). National Engineering School of Sfax) ; Khanfir Kallel, Imen (Sfax University (Tunísia). National Engineering School of Sfax) ; Sellami, Dorra (Sfax University (Tunísia). National Engineering School of Sfax)
The performance and robustness of the iris-based recognition systems still suffer from imperfection in the biometric information. This paper makes an attempt to address these imperfections and deals with important problem for real system. [...]
2019 - 10.5565/rev/elcvia.1132
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 18 Núm. 1 (2019) , p. 20-37 (Regular Issue)  
2019-06-18
08:24
20 p, 640.1 KB Selection of Wavelet Basis Function for Image Compression : a Review / Sunkara, Jaya Krishna (Sree Vidyanikethan Engineering College (A.Rangampet, Índia))
Wavelets are being suggested as a platform for various tasks in image processing. The advantage of wavelets lie in its time frequency resolution. The use of different basis functions in the form of different wavelets made the wavelet analysis as a destination for many applications. [...]
2019 - 10.5565/rev/elcvia.1094
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 18 Núm. 1 (2019) , p. 1-20 (Regular Issue)  
2018-11-09
18:22
15 p, 717.9 KB A New feature extraction method to Improve Emotion Detection Using EEG Signals / Zamanian, Hanieh (University of Birjand (Birjand, Iran). Department of Electrical and Computer Engineering) ; Farsi, Hassan (University of Birjand (Birjand, Iran). Department of Electrical and Computer Engineering)
Since emotion plays an important role in human life, demand and importance of automatic emotion detection have grown with increasing role of human computer interface applications. In this research, the focus is on the emotion detection from the electroencephalogram (EEG) signals. [...]
2018 - 10.5565/rev/elcvia.1045
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 17 Núm. 1 (2018) , p. 29-44 (Regular Issue)  
2018-11-09
18:22
13 p, 1.5 MB Efficient Iris and Eyelids Detection from Facial Sketch Images / Boonchuan, Tan (Universiti Sains Malaysia. School of Electrical and Electronics Engineering) ; Setumin, Samsul (Universiti Sains Malaysia. School of Electrical and Electronics Engineering) ; Radman, Abduljalil (Universiti Sains Malaysia. School of Electrical and Electronics Engineering) ; Suandi, Shahrel Azmin (Universiti Sains Malaysia. School of Electrical and Electronics Engineering)
In this paper, we propose a simple yet effective technique for an automatic iris and eyelids detection method for facial sketch images. Our system uses Circular Hough Transformation (CHT) algorithm for iris localization process and a low level grayscale analysis for eyelids contour segmentation procedure. [...]
2018 - 10.5565/rev/elcvia.1044
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 17 Núm. 1 (2018) , p. 16-28 (Regular Issue)  
2018-06-20
05:05
15 p, 1.8 MB Depth Data Error Modeling of the ZED 3D Vision Sensor from Stereolabs / Ortiz, Luis Enrique (Universidade Federal do Rio Grande do Norte. Department of Computer Engineering and Automation) ; Cabrera, Elizabeth V. (Universidade Federal do Rio Grande do Norte. Department of Computer Engineering and Automation) ; Goncalves, Luiz M. (Universidade Federal do Rio Grande do Norte. Department of Computer Engineering and Automation)
The ZED camera is binocular vision system that can be used to provide a 3D perception of the world. It can be applied in autonomous robot navigation, virtual reality, tracking, motion analysis and so on. [...]
2018 - 10.5565/rev/elcvia.1084
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 17 Núm. 1 (2018) , p. 1-15 (Regular Issue)  
2018-04-09
05:05
4 p, 225.2 KB Video Processing for Remote Respiration Monitoring / Alinovi, Davide ; Raheli, Riccardo, dir.
Monitoring of vital signs is a key tool in medical diagnostics. Among fundamental vital parameters, the Respiratory Rate (RR) plays an important role as indicator of possible pathological events. For this reason, respiration needs to be carefully monitored in order to detect potential signs indicating possible changes of health conditions. [...]
2017 - 10.5565/rev/elcvia.1124
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 9-12 (Special Issue on Recent PhD Thesis Dissemination (2017))  
2018-04-09
05:05
4 p, 165.6 KB Facial attributes recognition using computer vision to detect drowsiness and distraction in drivers / Fernández Villán, Alberto (TSK, Technological Scientific Park of Gijon) ; Usamentiaga Fernández, Rubén, dir. (Universidad de Oviedo. Departamento de Informática) ; Casado, Rubén, dir.
Driving is an activity that requires a high degree of concentration on the part of the person who performs it, since the slightest negligence is sufficient to provoke an accident with the consequent material and/or human losses. [...]
2017 - 10.5565/rev/elcvia.1134
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 16 Núm. 2 (2017) , p. 25-28 (Special Issue on Recent PhD Thesis Dissemination (2017))