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: Tapamo, Tchangou Toudjeu

المصدر: Advances in Electrical and Computer Engineering, Vol 19, Iss 1, Pp 51-56 (2019)

مصطلحات موضوعية: lcsh:Computer engineering. Computer hardware, General Computer Science, Computer science, Local binary patterns, 020209 energy, Feature extraction, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, lcsh:TK7885-7895, 02 engineering and technology, Facial recognition system, chemistry.chemical_compound, image texture analysis, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, affective computing, Affective computing, business.industry, feature extraction, 020208 electrical & electronic engineering, Pattern recognition, Feature description, classification, chemistry, Facial expression recognition, lcsh:Electrical engineering. Electronics. Nuclear engineering, Artificial intelligence, business, lcsh:TK1-9971, Derivative (chemistry), face recognition

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::676e990a652b0f086703352097976bfeTest
https://doi.org/10.4316/aece.2019.01007Test

المؤلفون: Giovanni Bellomo, Christopher Palestro, Anna Sarnelli, Kenneth Nichols, Frank P. DiFilippo, E. Mezzenga

المصدر: Applied Sciences; Volume 12; Issue 5; Pages: 2726

مصطلحات موضوعية: Fluid Flow and Transfer Processes, genetic structures, business.industry, Computer science, Process Chemistry and Technology, image artifacts, radiomics, SPECT system, gamma camera, quality assurance, image texture analysis, inter-observer agreement, phantom, General Engineering, Pattern recognition, equipment and supplies, Concentric ring, Computer Science Applications, Radiomics, General Materials Science, Artificial intelligence, business, Instrumentation

وصف الملف: application/pdf

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::955a603b0404addcba23e1068dfa331eTest
https://doi.org/10.3390/app12052726Test

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: Ralph Etienne-Cummings, Takeshi Uejima, Ernst Niebur

المصدر: Frontiers in Computational Neuroscience, Vol 14 (2020)
Frontiers in Computational Neuroscience

مصطلحات موضوعية: 0301 basic medicine, Computer science, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Neuroscience (miscellaneous), Texture (music), lcsh:RC321-571, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, proto-object, image texture analysis, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Original Research, Computational neuroscience, saliency, business.industry, Object based, Information processing, Pattern recognition, Filter (signal processing), Benchmarking, 030104 developmental biology, visual attention, Neuromorphic engineering, Artificial intelligence, neuromorphic engineering, business, 030217 neurology & neurosurgery, Neuroscience, Communication channel

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ca7f719d319da7f55ddd01586d5f89aTest
https://doi.org/10.3389/fncom.2020.541581Test

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: Weiqi Jin, Xia Wang, Li Li, Mingcong Liu, Shuo Li

المصدر: IEEE Access, Vol 6, Pp 57341-57352 (2018)

مصطلحات موضوعية: General Computer Science, Infrared, Computer science, media_common.quotation_subject, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, 01 natural sciences, Grayscale, 010309 optics, Histogram, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, image texture analysis, Contrast (vision), General Materials Science, media_common, infrared imaging, General Engineering, Process (computing), Support vector machine, Statistical classification, Feature (computer vision), Image enhancement, 020201 artificial intelligence & image processing, lcsh:Electrical engineering. Electronics. Nuclear engineering, Algorithm, lcsh:TK1-9971

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d202d63b8cf0b2d5cc7eb76dcc84a725Test
https://ieeexplore.ieee.org/document/8481358Test/

المؤلفون: Ausif Mahmood, Sumaya Abusaleh, Khaled M. Elleithy

المصدر: IEEE Access, Vol 6, Pp 3280-3299 (2018)

مصطلحات موضوعية: 010504 meteorology & atmospheric sciences, General Computer Science, Computer science, Lava, Feature extraction, Explosions, 02 engineering and technology, frequency-domain image analysis, 01 natural sciences, Multiclass classification, Polynomial kernel, Histogram, 0202 electrical engineering, electronic engineering, information engineering, image texture analysis, General Materials Science, 0105 earth and related environmental sciences, Standard test image, business.industry, image color analysis, General Engineering, Pattern recognition, image histogram analysis, Data set, Support vector machine, Categorization, 020201 artificial intelligence & image processing, Artificial intelligence, lcsh:Electrical engineering. Electronics. Nuclear engineering, business, lcsh:TK1-9971, image classification

الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9008b2567aee09f4f1d6728614757115Test
https://ieeexplore.ieee.org/document/8168246Test/