ELCVIA

ELCVIA 6 records found  Search took 0.02 seconds. 
1.
4 p, 338.2 KB Development of transition region based methods for image segmentation / Parida, Priyadarsan
In this thesis, some transition region based segmentation approaches have developed to perform image segmentation for grayscale and colour images. In computer vision and image understanding applications, image segmentation is an important pre-processing step. [...]
2019 - 10.5565/rev/elcvia.1176
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 18 Núm. 2 (2019) , p. 1-3 (Special Issue on Recent PhD Thesis Dissemination (2018 - 2019))  
2.
4 p, 803.1 KB Design and Development of a Computer Vision Algorithm and Tool for Currency Recognition in Indian Vernacular Languages for Visually Challenged People / Raval, Vishwas (The M S University of Baroda (Vadodara, Índia). Department of Computer Science & Engineering)
God created this universe and all living and non-living entities. Human is one of the best among His creations and in Human beings, eyes are the best gift of God to see His creations. As of now, humans are considered as the only developed creatures among God's creations and have developed themselves from Stone Age to the Computing Era. [...]
2019 - 10.5565/rev/elcvia.1186
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 18 Núm. 2 (2019) , p. 4-5 (Special Issue on Recent PhD Thesis Dissemination (2018 - 2019))  
3.
4 p, 549.4 KB Fully Convolutional Networks for Text Understanding in Scene Images / Bazazian, Dena
Text understanding in scene images has gained plenty of attention in the computer vision community and it is an important task in many applications as text carries semantically rich information about scene content and context. [...]
2019 - 10.5565/rev/elcvia.1187
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 18 Núm. 2 (2019) , p. 6-10 (Special Issue on Recent PhD Thesis Dissemination (2018 - 2019))  
4.
2 p, 924.4 KB Single Sensor Multi-Spectral Imaging / Soria Poma, Xavier
This dissertation presents the benefits of using a multispectral Single Sensor Camera (SSC) that, simultaneously acquire images in the visible and near-infrared (NIR) bands. The principal benefits while addressing problems related to image bands in the spectral range of 400 to 1100 nanometers, there are cost reductions in the hardware setup because only one SSC is needed instead of two; moreover, the cameras' calibration and images alignment are not required anymore. [...]
2019 - 10.5565/rev/elcvia.1194
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 18 Núm. 2 (2019) , p. 11-12 (Special Issue on Recent PhD Thesis Dissemination (2018 - 2019))  
5.
2 p, 59.7 KB Understanding Eye Movements : Psychophysics and a Model of Primary Visual Cortex / Berga Garreta, David
Humans move their eyes in order to learn visual representations of the world. These eye movements depend on distinct factors, either by the scene that we perceive or by our own decisions. To select what is relevant to attend is part of our survival mechanisms and the way we build reality, as we constantly react both consciously and unconsciously to all the stimuli that is projected into our eyes. [...]
2019 - 10.5565/rev/elcvia.1193
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 18 Núm. 2 (2019) , p. 13-15 (Special Issue on Recent PhD Thesis Dissemination (2018 - 2019))  
6.
2 p, 111.5 KB Automatic reactivity characterisation of char particles from pulverised coal combustion using computer vision / Chaves, Deisy
Char morphologies produced during pulverised coal combustion may determine coal reactivity which affects the combustion efficiency and the emissions of CO2 in power plants. Commonly, char samples are characterised manually, but this process is subjective and time-consuming. [...]
2019 - 10.5565/rev/elcvia.1191
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 18 Núm. 2 (2019) , p. 16-17 (Special Issue on Recent PhD Thesis Dissemination (2018 - 2019))  

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