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Articles 73 registres trobats  anterior11 - 20següentfinal  anar al registre: La cerca s'ha fet en 0.01 segons. 
11.
15 p, 1.2 MB Accuracy improvement of the inSAR quality-guided phase unwrapping based on a modified PDV map / Bentahar, Tarek (Larbi Tebessi University. Laboratory of electrical engineering-telecommunications-LABGET)
In this paper, an accuracy improvement of the quality-guided phase unwrapping algorithm is proposed. Our proposal is based on a modified phase derivative variance which provides more details on local variations especially for important patterns such as fringes and edges, hence distorted regions may be re-unwrapped according to this new reliable PDV. [...]
2021 - 10.5565/rev/elcvia.1220
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 2 (2021) , p. 22-37 (Regular Issue)  
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12.
14 p, 1.1 MB Edge detection algorithm for omnidirectional images, based on superposition laws on Blach's sphere and quantum entropy / Ezzaki, Ayoub (Mohammed V University in Rabat. Physics Department) ; Benkhedra, Dirar (Mohammed V University in Rabat. Mathematic Department) ; El Ansari, Mohamed (My Ismail University in Meknes (Marroc). Computer Science Department) ; Masmoudi, Lhoussaine (Mohammed V University in Rabat. Physics Department)
This paper presents an edge detection algorithm for omnidirectional images based on superposition law onBloch's sphere and quantum local entropy. Omnidirectional vision system has become an essential tool incomputer vision, duo to its large field of view. [...]
2021 - 10.5565/rev/elcvia.1338
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 70-83 (Regular Issue)  
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13.
15 p, 1.4 MB Recognition of Devanagari Scene Text Using Autoencoder CNN / Shiravale, Sankirti S. (Marathwada Mitra Mandal's College of Engineering (Índia). Department of Computer Engineering) ; Jayadevan, R. (Army Institute of Technology (Pune, Índia). Department of Computer Engineering) ; Sannakki, Sanjeev S. (Gogte Institute of Technology (Belagavi, Índia). Department of Computer Science and Engineering)
Scene text recognition is a well-rooted research domain covering a diverse application area. Recognition of scene text is challenging due to the complex nature of scene images. Various structural characteristics of the script also influence the recognition process. [...]
2021 - 10.5565/rev/elcvia.1344
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 55-69 (Regular Issue)  
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14.
13 p, 3.2 MB Adaptive Window Selection for Non-uniform Lighting Image Thresholding / Pattnaik, Tapaswini (C. V. Raman Global Universityv (Bhubaneswar, Índia). Department of Electronics and Telecommunication Engg) ; Kanungo, Priyadarshi (C. V. Raman Global Universityv (Bhubaneswar, Índia). Department of Electronics and Telecommunication Engg)
Selection of appropriate size of windows or subimages is the most important step for thresholding images with non-uniform lighting. In this paper, a novel criteria function is developed to partition images into different size of sub images appropriate for thresholding. [...]
2021 - 10.5565/rev/elcvia.1301
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 20 Núm. 1 (2021) , p. 42-54 (Regular Issue)  
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15.
5 p, 3.8 MB Increasing the Segmentation Accuracy of Aerial Images with Dilated Spatial Pyramid Pooling / Morocho-Cayamcela, Manuel Eugenio (Escuela Superior Politécnica del Litoral)
This thesis addresses the environmental uncertainty in satellite images as a computer vision task using semantic image segmentation. We focus in the reduction of the error caused by the use of a single-environment models in wireless communications. [...]
2021 - 10.5565/rev/elcvia.1337
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 19 Núm. 2 (2020) , p. 17-21 (Special Issue on Recent PhD Thesis Dissemination (2020))  
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16.
4 p, 128.6 KB Processing and Representation of Multispectral Images Using Deep Learning Techniques / Suarez Riofrío, Patricia
This thesis has implemented innovative techniques in the field of computer vision using visible and near-infrared spectrum images, applying deep learning through convolutional networks, especially GANs' architectures, which are specialists in generating information and also includes meta techniques -learning to tackle the problem of determining the similarity of images of a different spectrum. [...]
2020 - 10.5565/rev/elcvia.1246
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 19 Núm. 2 (2020) , p. 5-8 (Special Issue on Recent PhD Thesis Dissemination (2020))  
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17.
16 p, 494.0 KB Face Analysis Using Row and Correlation Based Local Directional Pattern / Ramalingam, Srinivasa Perumal (Vellore Institute of Technology (Vellore, Índia). School of Information Technology and Engineering) ; Mouli, Chandra (Central University of Tamil Nadu (Tamil Nadu, Índia). Department of Computer Science)
Face analysis, which includes face recognition and facial expression recognition, has been attempted by many researchers and gave ideal solutions. The problem is still active and challenging due to an increase in the complexity of the problem viz. [...]
2020 - 10.5565/rev/elcvia.1254
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 19 Núm. 3 (2020) , p. 55-70 (Regular Issue)  
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18.
9 p, 1.0 MB Estimating conformational traits in dairy cattle with deepAPS : A two-step deep learning automated phenotyping and segmentation approach / Nye, Jessica (Centre de Recerca en Agrigenòmica) ; Zingaretti, Laura M. (Centre de Recerca en Agrigenòmica) ; Perez-Enciso, Miguel (Centre de Recerca en Agrigenòmica)
Assessing conformation features in an accurate and rapid manner remains a challenge in the dairy industry. While recent developments in computer vision has greatly improved automated background removal, these methods have not been fully translated to biological studies. [...]
2020 - 10.3389/fgene.2020.00513
Frontiers in genetics, Vol. 11 (May 2020) , art. 513  
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19.
16 p, 2.1 MB Retinal Blood Vessel Extraction from Fundus Images Using Enhancement Filtering and Clustering / Dash, Jyotiprava (Veer Surendra Sai University of Technology (Burla, Índia). Department of Electronics and Telecommunication Engineering) ; Parida, Priyadarsan (GIET University (Gunupur, India). Department of Electronics and Communication Engineering) ; Bhoi, Nilamani (Veer Surendra Sai University of Technology (Burla, Índia). Department of Electronics and Telecommunication Engineering)
Screening of vision troubling eye diseases by segmenting fundus images eases the danger of loss of sight of people. Computer assisted analysis can play an important role in the forthcoming health care system universally. [...]
2020 - 10.5565/rev/elcvia.1239
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 19 Núm. 1 (2020) , p. 38-52 (Regular Issue)  
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20.
13 p, 6.4 MB Robust computer vision system for marbling meat segmentation / Campos, Gabriel Fillipe Centini (Universidade Estadual de Londrina. Department of Computer Science) ; Seixas Jr., José Luis (Eötvös Loránd University (Budapest, Hongria). Department of Data Science and Engineering) ; Barbon, Ana Paula A. C. (Universidade Estadual de Londrina. Department of Zootechnology) ; Felinto, Alan Salvany (Universidade Estadual de Londrina. Department of Computer Science) ; Bridi, Ana Maria (Universidade Estadual de Londrina. Department of Zootechnology) ; Barbon Jr., Sylvio (Universidade Estadual de Londrina. Department of Computer Science)
In this study, we developed a robust automatic computer vision system for marbling meat segmentation. Our approach can segment muscle fat in various marbled meat samples using images acquired with different quality devices in an uncontrolled environment, where there was external ambient light and artificial light; thus, professionals can apply this method without specialized knowledge in terms of sample treatments or equipment, as well as without disruption to normal procedures, thereby obtaining a robust solution. [...]
2020 - 10.5565/rev/elcvia.777
ELCVIA : Electronic Letters on Computer Vision and Image Analysis, Vol. 19 Núm. 1 (2020) , p. 15-27 (Regular Issue)  
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Articles : 73 registres trobats   anterior11 - 20següentfinal  anar al registre:
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