Image and Signal Processing: 9th International Conference, ICISP 2020, Marrakesh, Morocco, June 4–6, 2020, Proceedings: Lecture Notes in Computer Science, cartea 12119
Editat de Abderrahim El Moataz, Driss Mammass, Alamin Mansouri, Fathallah Noubouden Limba Engleză Paperback – 9 iul 2020
This volume constitutes the refereed proceedings of the 9th International Conference on Image and Signal Processing, ICISP 2020, which was due to be held in Marrakesh, Morocco, in June 2020. The conference was cancelled due to the COVID-19 pandemic.
The 40 revised full papers were carefully reviewed and selected from 84 submissions. The contributions presented in this volume were organized in the following topical sections: digital cultural heritage & color and spectral imaging; data and image processing for precision agriculture; machine learning application and innovation; biomedical imaging; deep learning and applications; pattern recognition; segmentation and retrieval; mathematical imaging & signal processing.
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (2) | 328.04 lei 6-8 săpt. | |
| Springer International Publishing – 9 iul 2020 | 328.04 lei 6-8 săpt. | |
| Springer International Publishing – 30 iun 2018 | 335.73 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783030519346
ISBN-10: 3030519341
Pagini: 550
Ilustrații: XIV, 386 p. 179 illus., 127 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.56 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Cham, Switzerland
ISBN-10: 3030519341
Pagini: 550
Ilustrații: XIV, 386 p. 179 illus., 127 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.56 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Image Processing, Computer Vision, Pattern Recognition, and Graphics
Locul publicării:Cham, Switzerland
Cuprins
Digital Cultural Heritage & Color and Spectral Imaging.- Data and Image Processing for Precision Agriculture.- Machine Learning Application and Innovation.- Biomedical Imaging.- Deep Learning and Applications.- Pattern Recognition.- Segmentation and Retrieval.- Mathematical Imaging & Signal Processing.