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Proceedings of International Conference on Image, Vision and Intelligent Systems 2022 (ICIVIS 2022) [Mīkstie vāki]

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  • Formāts: Paperback / softback, 1052 pages, height x width: 235x155 mm, 481 Illustrations, color; 123 Illustrations, black and white; XVIII, 1052 p. 604 illus., 481 illus. in color. In 2 volumes, not available separately., 2 paperbacks
  • Sērija : Lecture Notes in Electrical Engineering 1019
  • Izdošanas datums: 31-Mar-2024
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9819909252
  • ISBN-13: 9789819909254
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  • Cena: 403,91 €*
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Proceedings of International Conference on Image, Vision and Intelligent Systems 2022 (ICIVIS 2022)Palielināt
  • Formāts: Paperback / softback, 1052 pages, height x width: 235x155 mm, 481 Illustrations, color; 123 Illustrations, black and white; XVIII, 1052 p. 604 illus., 481 illus. in color. In 2 volumes, not available separately., 2 paperbacks
  • Sērija : Lecture Notes in Electrical Engineering 1019
  • Izdošanas datums: 31-Mar-2024
  • Izdevniecība: Springer Verlag, Singapore
  • ISBN-10: 9819909252
  • ISBN-13: 9789819909254
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9789819909254.html
This book is a collection of the papers accepted by the ICIVIS 2022—The International Conference on Image, Vision and Intelligent Systems, held on August 15–17, 2022, in Jinan, China. The topics focus but are not limited to image, vision and intelligent systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state of practice in the topics covered by this conference proceedings.
Denoising Supervision Based Generative Adversarial Networks for MRI
Super-Resolution Reconstruction.- 3D Pot-Shaped Object Localization Based on
RGB-Image and Point Clouds.- Edge Matching of Image with Large Viewpoint
Variation Based on Relative Motion Direction of Edge Corners.- Research on
Image Recognition in Complex Background Based on Improved Bilinear CNN
Model.- High Precision Odometer and Mapping Algorithm Based on Multi Lidar
Fusion.- Classification Model for Easily Confused Breast Ultrasound Image
Based on Shape and Texture Features.- Automated Identification for High
Voltage Isolation Switch via Generative Adversarial Network.- Fundus Image
Registration Based on Improved Feature Description.- Split dynamic target
counting framework based on Yolov5+Deepsort optimization.- Clustering of
Cervical Histopathology Images based on Minimum Spanning Tree.