Feature extraction and image processing for computer vision

Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding...

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Xehetasun bibliografikoak
Egile Nagusiak: Nixon, Mark S., Aguado, Alberto S., 19..- (Egilea)
Formatua: Livre numérique
Hizkuntza:Anglais
Argitaratua: London : Academic Press 2019.
Paris : Cyberlibris
Gaiak:
Sarrera elektronikoa:Accès Université d'Orléans et IFPM
Oharra: Couverture. https://static2.cyberlibris.com/books_upload/300pix/9780128149775.jpg
Cyberlibris (ScholarVox) corpus Informatique
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Feature extraction and image processing for computer vision, Mark S. Nixon,... Alberto S. Aguado,..., 4th edition, 2020, London, Academic Press, 1 vol. (XXIV-626 p.), 978-0-12-814976-8
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100 1 |a Nixon, Mark S. 
245 1 0 |a Feature extraction and image processing for computer vision   |c Mark S. Nixon,... Alberto S. Aguado,... 
260 |a London :  |b Academic Press. 
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504 |a Bibliogr. en fin de chapitres. Index 
506 |a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris 
520 |a Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, The main strength of the proposed book is the link between theory and exemplar code of the algorithms. Essential background theory is carefully explained. This text gives students and researchers in image processing and computer vision a complete introduction to classic and state-of-the art methods in feature extraction together with practical guidance on their implementation. - The only text to concentrate on feature extraction with working implementation and worked through mathematical derivations and algorithmic methods - A thorough overview of available feature extraction methods including essential background theory, shape methods, texture and deep learning - Up to date coverage of interest point detection, feature extraction and description and image representation (including frequency domain and colour) - Good balance between providing a mathematical background and practical implementation - Detailed and explanatory of algorithms in MATLAB and Python 
650 |a Traitement d'images 
650 |a Vision par ordinateur 
650 |a Design patterns 
700 1 |a Aguado, Alberto S.,  |d 19..-  |4 aut 
776 0 |0 248998234  |t Feature extraction and image processing for computer vision  |f Mark S. Nixon,... Alberto S. Aguado,...  |e 4th edition  |d 2020  |c London  |n Academic Press  |p 1 vol. (XXIV-626 p.)  |z 978-0-12-814976-8 
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