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:
2016-02-24
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))  
2015-12-24
08:05

3 p, 1.5 MB
Image Processing for Art Investigation / Cornelis, Bruno
Recent advances in digital image acquisition methods and the wide range of imaging modalities currently available have triggered museums to digitize their painting collections. Not only is this crucial for archival or dissemination purposes but it also enabled the digital analysis of the painting through its digital image counterpart. [...]
2015 - 10.5565/rev/elcvia.715
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 14 Núm. 3 (2015) , 13-15 (Special Issue on Recent PhD Thesis Dissemination (2014))  
2015-12-24
08:05

3 p, 98.3 KB
Modeling the environment with egocentric vision systems / Rituerto, Alejandro
More and more intelligent systems, such as robots or wearable systems, are present in our everyday life. This kind of systems interact with the environment so they need suitable models of their surrounding. [...]
2015 - 10.5565/rev/elcvia.739
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 14 Núm. 3 (2015) , p. 49-51 (Special Issue on Recent PhD Thesis Dissemination (2014))  
2015-12-24
08:05

3 p, 1.2 MB
Integrated Registration, Segmentation, and Interpolation for 3D/4D Sparse Data / Paiement, Adeline
We address the problem of object modelling from 3D and 4D sparse data acquired as different sequences which are misaligned with respect to each other. Such data may result from various imaging modalities and can therefore present very diverse spatial configurations and appearances. [...]
2015 - 10.5565/rev/elcvia.712
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 14 Núm. 3 (2015) , p. 6-8 (Special Issue on Recent PhD Thesis Dissemination (2014))  
2015-12-24
08:05

2 p, 148.7 KB
DROP : a Data Reduction and Organization Paradigm and its Application in Image Analysis / Saito, Priscila T. M.
In this paper, we deal with the problem of the annotation process in image analysis. This problem refers to the trade-off, wherein the human knowledge is indispensable for the success of the process and human's time and effort are precious resources. [...]
2015 - 10.5565/rev/elcvia.727
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 14 Núm. 3 (2015) , p. 31-32 (Special Issue on Recent PhD Thesis Dissemination (2014))