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Image Analysis and Recognition: 14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 57, 2017, Proceedings 1st ed. 2017 [Mīkstie vāki]

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  • Formāts: Paperback / softback, 673 pages, height x width: 235x155 mm, 242 Illustrations, color; 58 Illustrations, black and white; XVII, 673 p. 293 illus., 1 Paperback / softback
  • Sērija : Image Processing, Computer Vision, Pattern Recognition, and Graphics 10317
  • Izdošanas datums: 03-Jun-2017
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319598759
  • ISBN-13: 9783319598758
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Image Analysis and Recognition: 14th International Conference, ICIAR 2017, Montreal, QC, Canada, July 57, 2017, Proceedings 1st ed. 2017Palielināt
  • Formāts: Paperback / softback, 673 pages, height x width: 235x155 mm, 242 Illustrations, color; 58 Illustrations, black and white; XVII, 673 p. 293 illus., 1 Paperback / softback
  • Sērija : Image Processing, Computer Vision, Pattern Recognition, and Graphics 10317
  • Izdošanas datums: 03-Jun-2017
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319598759
  • ISBN-13: 9783319598758
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783319598758.html
Keywords:
This book constitutes the thoroughly refereed proceedings of the 14th International Conference on Image Analysis and Recognition, ICIAR 2017, held in Montreal, QC, Canada, in July 2017.

The 73 revised full papers presented were carefully reviewed and selected from 133 submissions. The papers are organized in the following topical sections: machine learning in image recognition; machine learning for medical image computing; image enhancement and reconstruction; image segmentation; motion and tracking; 3D computer vision; feature extraction; detection and classification; biomedical image analysis; image analysis in ophthalmology; remote sensing; applications.

Machine learning in image recognition.- Machine learning for medical image computing.- Image enhancement and reconstruction.- Image segmentation.- Motion and tracking.- 3D computer vision.- Feature extraction.- Detection and classification.- Biomedical image analysis.- Image analysis in ophthalmology.- Remote sensing.- Applications.