Teaching Information
Release time: 2024-01-31Hits:
  • Course Introduction:通过本课程的学习,使学生能掌握图像处理中的空域图像增强、图像变换、频域图像增强、图像复原、图像特征提取、图像配准、图像融合、图像分割、图像重建、计算机辅助医学图像分析等基本概念和基本方法,了解图像处理在医学领域的应用和发展,并具有将这些概念和方法应用于实际的能力。
  • Schedule:2024-01-05:西二509*;2023-11-24:西二509*;2023-12-04:西二509*;2023-11-27:西二509*;2023-12-25:西二509*;2023-12-15:西二509*;2023-12-01:西二509*;2023-12-29:西二509*;2023-11-17:西二509*;2023-12-08:西二509*;2023-12-22:西二509*;2023-12-11:西二509*;2024-01-01:西二509*;2023-11-20:西二509*;2023-12-18:西二509*;2023-11-13:西二509*
  • Teacher:刘羽
  • School Year:2023-2024
  • Semester:Autumn Term
  • Course number:0130162B
  • Credits:2.0
  • Course Type:Undergraduate Course:
  • Top-Quality Courses or Not:no
  • Maximum Number of Students:71
  • Required Class Hours:32.0
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Doctoral degree

Yu Liu
Hefei University of Technology
MOBILE Version