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1دورية أكاديمية
المصدر: Advances in Electrical and Computer Engineering, Vol 19, Iss 2, Pp 69-74 (2019)
مصطلحات موضوعية: image edge detection, image segmentation, image texture analysis, iris recognition, pattern analysis, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Computer engineering. Computer hardware, TK7885-7895
وصف الملف: electronic resource
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2مؤتمر
المساهمون: Svanera, Michele, Muhammad, Umar Riaz, Leonardi, Riccardo, Benini, Sergio
مصطلحات موضوعية: image texture analysis, image segmentation, hair detection, hair database
وصف الملف: ELETTRONICO
العلاقة: info:eu-repo/semantics/altIdentifier/isbn/978-1-4673-9961-6; info:eu-repo/semantics/altIdentifier/isbn/978-1-4673-9962-3; info:eu-repo/semantics/altIdentifier/wos/WOS:000390782001005; ispartofbook:Proceedings of the 2016 IEEE International Conference on Image Processing (ICIP 2016); 2016 IEEE International Conference on Image Processing (ICIP 2016); firstpage:936; lastpage:940; numberofpages:5; serie:PROCEEDINGS - INTERNATIONAL CONFERENCE ON IMAGE PROCESSING; http://hdl.handle.net/11379/483542Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85006815331
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3مؤتمر
المؤلفون: Hadjerci, Oussama, Hafiane, Adel, Makris, Pascal, Conte, Donatello, Vieyres, Pierre, Delbos, Alain
المساهمون: Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique 2008-2013 (PRISME), Université d'Orléans (UO)-Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges), Laboratoire d'Informatique Fondamentale et Appliquée de Tours (LIFAT), Université de Tours (UT)-Institut National des Sciences Appliquées - Centre Val de Loire (INSA CVL), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Centre National de la Recherche Scientifique (CNRS), Clinique Médipôle Garonne
المصدر: 11th International Conference, ICIAR 2014
https://hal.science/hal-01083075Test
11th International Conference, ICIAR 2014, Oct 2014, Villamoura, Portugal. pp.132 - 140, ⟨10.1007/978-3-319-11755-3_15⟩مصطلحات موضوعية: image segmentation, feature extraction, image texture analysis, supervised learning, nerve detection, [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV], [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
جغرافية الموضوع: Villamoura, Portugal
العلاقة: hal-01083075; https://hal.science/hal-01083075Test; https://hal.science/hal-01083075/documentTest; https://hal.science/hal-01083075/file/ICIAR2014.pdfTest
الإتاحة: https://doi.org/10.1007/978-3-319-11755-3_15Test
https://hal.science/hal-01083075Test
https://hal.science/hal-01083075/documentTest
https://hal.science/hal-01083075/file/ICIAR2014.pdfTest -
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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 -
5مؤتمر
المؤلفون: Öztürk, Åžaban, Akdemir, B., Seyfi, Leventl, Özkaya, Umut
مصطلحات موضوعية: Biomedical Image Processing, Image Texture Analysis, Image Denoising, Image Edge Detection, Image Segmentation, Images, Extraction
العلاقة: 2018 2ND INTERNATIONAL SYMPOSIUM ON MULTIDISCIPLINARY STUDIES AND INNOVATIVE TECHNOLOGIES (ISMSIT); Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı; https://hdl.handle.net/20.500.13091/1128Test; 32; 38; WOS:000467794200006
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6مؤتمر
المؤلفون: Ozkaya, U., Ozturk, S., Akdemir, B., Seyfi, L.
المساهمون: Ozkaya, U. -- Akdemir, B. -- Seyfi, L. Konya Tech Univ, Elect & Elect Engn, Konya, Turkey -- Ozturk, S. Amasya Univ, Elect & Elect Engn, Amasya, Turkey
مصطلحات موضوعية: Biomedical image processing, image texture analysis, image denoising, image edge detection, image segmentation
العلاقة: 2018 2ND INTERNATIONAL SYMPOSIUM ON MULTIDISCIPLINARY STUDIES AND INNOVATIVE TECHNOLOGIES (ISMSIT); Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı; https://hdl.handle.net/20.500.12450/929Test; 32; 38
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7دورية أكاديمية
المؤلفون: Arnon Goldman Israel
المساهمون: The Pennsylvania State University CiteSeerX Archives
مصطلحات موضوعية: Anomaly detection, Object recognition, Pattern recognition, Image segmentation, Image texture analysis, Gaussian Markov random field, Multi-scale representation
وصف الملف: application/pdf
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8دورية أكاديمية
المؤلفون: Arnon Goldman, Israel Cohen
المساهمون: The Pennsylvania State University CiteSeerX Archives
مصطلحات موضوعية: Anomaly detection, Object recognition, Pattern recognition, Image segmentation, Image texture analysis
وصف الملف: application/pdf
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9دورية أكاديمية
المؤلفون: Hill, PR, Canagarajah, CN, Bull, DR
المصدر: Hill , PR , Canagarajah , CN & Bull , DR 2003 , ' Image segmentation using a texture gradient based watershed transform ' , IEEE Transactions on Image Processing , vol. 12 , no. 12 , pp. 1618 - 1633 . https://doi.org/10.1109/TIP.2003.819311Test
مصطلحات موضوعية: image segmentation, image texture analysis, image edge analysis, wavelet transforms
وصف الملف: application/pdf
العلاقة: https://research-information.bris.ac.uk/en/publications/1525c93b-d7c6-4b36-9f68-7a18d0020c14Test
الإتاحة: https://doi.org/10.1109/TIP.2003.819311Test
http://hdl.handle.net/1983/1499Test
https://research-information.bris.ac.uk/en/publications/1525c93b-d7c6-4b36-9f68-7a18d0020c14Test
https://research-information.bris.ac.uk/ws/files/3014582/HIll_IEEE_TransIP_2003.pdfTest
http://ieeexplore.ieee.org/search/srchabstract.jsp?arnumber=1257398&isnumber=28122&punumber=83&k2dockey=1257398@ieeejrns&query=%28%28image+segmentation+using+aTest+texture+gradient+based+watershed+transform%29%3Cin%3Emetadata%29&pos=0 -
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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