ELCVIA : Electronic Letters on Computer Vision and Image Analysis
ELCVIA (ISSN 1577-5097 E) is an exclusively electronic journal known internationally for research and applications of computer vision and image analysis. Its editorial board consists of internationally renowned experts. All articles are peer reviewed by peer-review and currently has an acceptance rate of 25% of the items received. The main objectives of the magazine are:
    Being a journal of international reference in the field of computer vision. To be a quality publication. Being a media fast and dynamic, with a quick review of the articles. Being Index impact within the SC database.
Latest additions:
2016-09-16
09:41
23 p, 1.9 MB Efficient Labelling of Pedestrian Supervisions / Htike, Kyaw Kyaw (UCSI University (Kuala Lumpur). School of Information Technology)
Object detection is a fundamental goal to achieve intelligent visual perception by computers due to the fact that objects are the basic building blocks to achieve higher level image understanding. Among the numerous categories of objects in the real-world, pedestrians are among the most important due to several potential benefits brought about by successful pedestrian detection. [...]
2016 - 10.5565/rev/elcvia.881
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 núm. 1 (2016) , p. 77-99 (Regular Issue)  
2016-09-16
09:41
17 p, 1.2 MB Indoor/outdoor navigation system based on possibilistic traversable area segmentation for visually impaired people / Frikha, Jihen (National Engineering School of Sfax (Sfax, Tunísia)) ; Sellami, Dorra (National Engineering School of Sfax (Sfax, Tunísia)) ; Khanfir Kallel, Imen (National Engineering School of Sfax (Sfax, Tunísia))
Autonomous collision avoidance for visually impaired people requires a specific processing for an accurate definition of traversable area. Processing of a real time image sequence for traversable area segmentation is quite mandatory. [...]
2016 - 10.5565/rev/elcvia.818
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 núm. 1 (2016) , p. 60-76 (Regular Issue)  
2016-06-23
08:14
33 p, 6.6 MB A Novel Angular Texture Pattern (ATP) Extraction Method for Crop and Weed Discrimination Using Curvelet Transformation / Murugan, D. (Agricultural College and Research Institute (Tamil Nadu, Índia)) ; Prema, P. (Manonmaniam Sundaranar University (Tamil Nadu, Índia))
Weed management is the most significant process in the agricultural applications to improve the crop productivity rate and reduce the herbicide application cost. Existing weed detection techniques does not yield better performance due to the complex background and illumination variation. [...]
2016 - 10.5565/rev/elcvia.826
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 núm. 1 (2016) , p. 27-59 (Regular Issue)  
2016-05-04
08:06
13 p, 327.3 KB Edge-aware wedgelet estimation for depth maps compression / Sebai, Dorsaf (University of Manouba (Tunísia). Cristal Laboratoy, National School of Computer Science) ; Chaieb, Faten (University of Manouba (Tunísia). Cristal Laboratoy, National School of Computer Science) ; Ghorbel, Faouzi (University of Manouba (Tunísia). Cristal Laboratoy, National School of Computer Science)
In recent years, Multi-view Video plus Depth (MVD) compression has received much attention thanks to its relevance to free viewpoint applications needs. An efficient compression, that causes the least distortion without excessive rate and complexity increase, becomes a must particularly for depth maps. [...]
2016 - 10.5565/rev/elcvia.807
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 núm. 1 (2016) , p. 14-26 (Regular Issue)  
2016-02-24
08:05
13 p, 1.4 MB Fast Region-based Active Contour Model Driven by Local Signed Pressure Force / Azizi, Abdallah (University of Biskra (Algèria)) ; Elkourd, Kaouther (Preparatory School for Science & Techniques. Department of Physics (Algiers, Algèria))
Intensity inhomogeneity is a well-known problem in image segmentation. In this paper, we present a new region-based active contour model for image segmentation which can handle intensity inhomogeneity problem. [...]
2016 - 10.5565/rev/elcvia.794
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 15 núm. 1 (2016) , p. 1-13 (Regular Issue)  
2016-01-19
08:05
13 p, 849.7 KB Efficient Poisson Image Editing / Hussain, Khaled F. (Assiut University (Egipte). Faculty of Computers and Information) ; Kamel, Rasha M. (Assiut University (Egipte). Faculty of Science)
Image composition refers to the process of composing two or more images to create an acceptable output image. It is one of the important techniques of image processing. In this paper, two efficient methods for composing color images are proposed. [...]
2015 - 10.5565/rev/elcvia.765
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 14 núm. 2 (2015) , p. 45-57 (Regular Issue)  
2016-01-19
08:05
16 p, 763.0 KB A Hybrid Particle Swarm Optimization with Affine Transformation Approach for Cloud Free Multi-Temporal Image Registration / Priya, Swarna (VIT University (Tamil Nadu, Índia)) ; Prabu, S. (VIT University (Tamil Nadu, Índia)) ; V.S, Dharun (Noorul Islam Univeristy)
An image registration is the major part of the image categorization and cluster formation in multi temporal image processing. The images are affected by the different factors such as cloud shadow, water level, building shadows etc. [...]
2015 - 10.5565/rev/elcvia.775
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 14 núm. 2 (2015) , p. 74-89 (Regular Issue)  
2016-01-19
08:05
16 p, 2.2 MB Multi-focus image fusion using maximum symmetric surround saliency detection / Bavirisetti, Durga Prasad (VIT University (Vellore, Índia)) ; Dhuli, Ravindra (VIT University (Vellore, Índia))
In digital photography, two or more objects of a scene cannot be focused at the same time. If we focus one object, we may lose information about other objects and vice versa. Multi-focus image fusion is a process of generating an all-in-focus image from several out-of-focus images. [...]
2015 - 10.5565/rev/elcvia.793
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 14 núm. 2 (2015) , p. 58-73 (Regular Issue)  
2016-01-18
08:05
2 p, 584.0 KB Segmentation and indexation of complex objects in comic book / Rigaud, Christophe
Born in the 19th century, comics is a visual medium used to express ideas via images, often combined with text or visual information. It is an art form that uses images deployed in sequence for graphic storytelling (sequential art), spread worldwide initially using newspapers, books and magazines. [...]
2015 - 10.5565/rev/elcvia.833
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 14 Núm. 3 (2015) , p. 59-60 (Special Issue on Recent PhD Thesis Dissemination (2014))  
2015-12-24
08:05
3 p, 25.7 KB Image Retrieval : Modelling Keywords via Low-level Features / Theodosiou, Zenonas
With the advent of cheap digital recording and storage devices and the rapidly increasing popularity of online social networks that make extended use of visual information, like Facebook and Instagram, image retrieval regained great attention among the researchers in the areas of image indexing and retrieval. [...]
2015 - 10.5565/rev/elcvia.725
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 14 Núm. 3 (2015) , p. 21-23 (Special Issue on Recent PhD Thesis Dissemination (2014))