المؤلفون: V. Papic, S. Graovac, B. Kovacevic., A. A. Abdulla

المصدر: Advances in Electrical and Computer Engineering, Vol 21, Iss 2, Pp 3-14 (2021)

مصطلحات موضوعية: Computer engineering. Computer hardware, General Computer Science, business.industry, Computer science, image color analysis, particle filters, image edge detection, Tracking (particle physics), TK1-9971, TK7885-7895, Video tracking, Feature based, In vehicle, image texture analysis, Computer vision, Artificial intelligence, Electrical engineering. Electronics. Nuclear engineering, Electrical and Electronic Engineering, image sequence analysis, business, Particle filter, Particle filtering algorithm

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7facf71b55cf1f761c8b80035262b901Test
https://doaj.org/article/999429eed85947f0a6c6834a38aee401Test

المؤلفون: Akos Odry, Vladimir Tadic, Attila Toth, Peter Odry, Zoltan Vizvari

المصدر: IEEE Access, Vol 8, Pp 96706-96713 (2020)

مصطلحات موضوعية: fuzzy system, General Computer Science, Computer science, Circular Gabor filters, 02 engineering and technology, 01 natural sciences, Gabor filter, Robustness (computer science), image texture analysis, 0202 electrical engineering, electronic engineering, information engineering, General Materials Science, Computer vision, 0101 mathematics, image filtering, business.industry, 010102 general mathematics, General Engineering, object detection, Fuzzy control system, Filter (signal processing), fuzzification of filter parameters, Object detection, 020201 artificial intelligence & image processing, lcsh:Electrical engineering. Electronics. Nuclear engineering, Artificial intelligence, business, lcsh:TK1-9971

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::320ce782db352a70ace5c50080bf5cedTest
https://doi.org/10.1109/access.2020.2995553Test

المؤلفون: Y. Park, S. Lee, D. Lee

المصدر: Advances in Electrical and Computer Engineering, Vol 19, Iss 2, Pp 69-74 (2019)

مصطلحات موضوعية: lcsh:Computer engineering. Computer hardware, General Computer Science, Computer science, 020209 energy, Iris recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Pattern analysis, lcsh:TK7885-7895, 02 engineering and technology, Computer Science::Human-Computer Interaction, image edge detection, Pupil, iris recognition, pattern analysis, 0202 electrical engineering, electronic engineering, information engineering, image texture analysis, Segmentation, Computer vision, Center (algebra and category theory), Electrical and Electronic Engineering, image segmentation, business.industry, Orientation (computer vision), 020208 electrical & electronic engineering, Astrophysics::Instrumentation and Methods for Astrophysics, Image segmentation, Computer Science::Computer Vision and Pattern Recognition, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, lcsh:TK1-9971

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53038721ac3da3e50eab8a0bae9192efTest
https://doaj.org/article/d0fba9b46d6541f6b9744c1a919c516bTest

المؤلفون: Abdelmalek Ahmed-Taleb, Mohammed Beladgham, Ahmed Bouida, Miloud Kamline, Ismahane Benyahia, Imene Haouam, Abdesselam Bassou

المساهمون: Université Tahri Mohammed, Béchar, Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), COMmunications NUMériques - IEMN (COMNUM - IEMN), Institut d’Électronique, de Microélectronique et de Nanotechnologie - Département Opto-Acousto-Électronique - UMR 8520 (IEMN-DOAE), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF), This work is partly supported by Algerian ministry of higher education and research (PRFU) project N° A25N01UN080120180002., Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 (IEMN), Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-Centrale Lille-Institut supérieur de l'électronique et du numérique (ISEN)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Université de Lille-Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)

المصدر: Traitement du Signal
Traitement du Signal, 2020, 37 (5), pp.753-762. ⟨10.18280/ts.370507⟩
Traitement du Signal, Lavoisier, 2020, 37 (5), pp.753-762. ⟨10.18280/ts.370507⟩

مصطلحات موضوعية: 0209 industrial biotechnology, Biometrics, Computer science, wavelet-based compression, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, image quality assessment, 02 engineering and technology, image edge detection, medical and biometric images, [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI], [SPI]Engineering Sciences [physics], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], 020901 industrial engineering & automation, Image texture, 0202 electrical engineering, electronic engineering, information engineering, image texture analysis, Computer vision, [INFO]Computer Science [cs], Electrical and Electronic Engineering, business.industry, [SPI.TRON]Engineering Sciences [physics]/Electronics, 020201 artificial intelligence & image processing, Artificial intelligence, business, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, Degradation (telecommunications)

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f72f521b30877fffa314e20c5d802ad2Test
https://hal.science/hal-03472290Test

المؤلفون: J. Divya Udayan, Hyung-Seok Kim

المصدر: IEEE Access, Vol 6, Pp 2645-2653 (2018)

مصطلحات موضوعية: General Computer Science, Noise measurement, Computer science, business.industry, feature extraction, General Engineering, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Iterative reconstruction, Solid modeling, Texture (geology), Image (mathematics), image processing, Component (UML), image texture analysis, General Materials Science, Facade, Computer vision, Artificial intelligence, 3D reconstruction, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, lcsh:TK1-9971, Image restoration, ComputingMethodologies_COMPUTERGRAPHICS

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03fc8ca7bfb6531d2c157b67d35442f7Test
https://ieeexplore.ieee.org/document/8225622Test/

المؤلفون: Riccardo Leonardi, Umar Riaz Muhammad, Michele Svanera, Sergio Benini

المصدر: ICIP

مصطلحات موضوعية: Pixel, Computer science, business.industry, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Scale-space segmentation, 020207 software engineering, Pattern recognition, 02 engineering and technology, Image segmentation, hair detection, Facial recognition system, Random forest, hair database, Histogram of oriented gradients, image texture analysis, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Segmentation, Artificial intelligence, business, image segmentation, image texture analysis, image segmentation, hair detection, hair database, ComputingMethodologies_COMPUTERGRAPHICS

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e916861e0b18ebf528c291ada0e0ca35Test
https://doi.org/10.1109/icip.2016.7532494Test

المؤلفون: Kestas Rimkus, Arunas Lipnickas, Saulius Sinkevicius

المساهمون: Kauno technologijos universitetas

مصطلحات موضوعية: Engineering, Machine vision, image colour analysis, expert systems, 02 engineering and technology, machine vision, computer.software_genre, 0202 electrical engineering, electronic engineering, information engineering, image texture analysis, Computer vision algorithms, Computer vision, Electrical and Electronic Engineering, Contextual image classification, business.industry, 021001 nanoscience & nanotechnology, Expert system, Expert systems, image classification, 020201 artificial intelligence & image processing, Artificial intelligence, 0210 nano-technology, business, Classifier (UML), computer

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67911f68339aec7cb7ea98ebb20adeacTest
https://vb.ktu.edu/KTU:ELABAPDB22814512&prefLang=en_USTest

المؤلفون: Ngoc-Son Vu, Philippe-Henri Gosselin, Hai-Hong Phan, Vu-Lam Nguyen

المساهمون: Equipes Traitement de l'Information et Systèmes (ETIS - UMR 8051), Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY)

المصدر: Multimedia Tools and Applications
Multimedia Tools and Applications, Springer Verlag, In press, ⟨10.1007/s11042-017-4824-5⟩

مصطلحات موضوعية: Computer Networks and Communications, Local binary patterns, Computer science, Image classification, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, Image texture analysis, Image texture, Discriminative model, Texture filtering, 0202 electrical engineering, electronic engineering, information engineering, Media Technology, Computer vision, Invariant (mathematics), Wavelet Transforms, Contextual image classification, business.industry, Wavelet transform, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 020207 software engineering, Pattern recognition, Hardware and Architecture, Scattering Transforms, 020201 artificial intelligence & image processing, Artificial intelligence, business, Software

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94b5242f33ad9edaa642b879ade0c85dTest
https://hal.archives-ouvertes.fr/hal-01593393Test

المؤلفون: H. Kabir, Faisal Ahmed, Farhan Bashar, A. Khan

المصدر: Advances in Electrical and Computer Engineering, Vol 14, Iss 1, Pp 69-76 (2014)

مصطلحات موضوعية: lcsh:Computer engineering. Computer hardware, Similarity (geometry), General Computer Science, business.industry, Computer science, feature extraction, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Representation (systemics), lcsh:TK7885-7895, Facial recognition system, Image (mathematics), Face (geometry), pattern analysis, image texture analysis, Discrete cosine transform, Computer vision, lcsh:Electrical engineering. Electronics. Nuclear engineering, Artificial intelligence, Enhanced Data Rates for GSM Evolution, Electrical and Electronic Engineering, discrete cosine transform, business, lcsh:TK1-9971, face recognition

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d722ca6ef268d1d34de43c2c3231482Test
https://doi.org/10.4316/aece.2014.01011Test

المؤلفون: Hai-Hong Phan, Vu-Lam Nguyen, Ngoc-Son Vu, Philippe-Henri Gosselin

المساهمون: Equipes Traitement de l'Information et Systèmes (ETIS - UMR 8051), Ecole Nationale Supérieure de l'Electronique et de ses Applications (ENSEA)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY)

المصدر: 2016 23rd International Conference on Pattern Recognition (ICPR)
23rd IEEE International Conference on Pattern Recognition (ICPR 2016)
23rd IEEE International Conference on Pattern Recognition (ICPR 2016), Dec 2016, Cancun, Mexico. ⟨10.1109/ICPR.2016.7899931⟩
ICPR

مصطلحات موضوعية: Contextual image classification, business.industry, Local binary patterns, Image classification, Feature extraction, Wavelet transform, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], 020207 software engineering, Pattern recognition, 02 engineering and technology, Filter (signal processing), Image texture analysis, Image texture, Texture filtering, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, business, Classifier (UML), Mathematics

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f485408a9ee6873bfc65960c39e511bdTest
https://hal.archives-ouvertes.fr/hal-01593389Test