|Course Name||Pattern Recognition|
|English Name||Pattern recognition|
|Pre-Course||probability statistics，better if you are familiar with information theory, optimization|
|Teacher||Wang Yunhong||Course Character||Time||spring|
|Applied Discipline||Pattern recognition and Intelligent systems, Control theory and Control engineering，Computer science and technology|
|Teaching Material||《Pattern Recognition》Second Edition，Zhaoqi Bian，Xuegong Zhang et al. Tsinghua University Press，2000.|
|Reference Material||《Pattern recognition》Second Edition，Richard O.Duda et al.|
By taking and finishing this course, students are supposed to master the elementary concepts, basic principles, fundamental analysis methods and algorithms of pattern recognition and acquire the ability of designing and implementing the simple classification algorithms in pattern recognition, which can lay a foundation for their future study and research in this field.
Content Outlines and Time Allocation：
|Main reference books||
《Pattern Recognition》Second Edition，Zhaoqi Bian，Xuegong Zhang et al. Tsinghua University Press，2000.
Digital Image Processing and Pattern Recognition
This course mainly introduces the basic theory of image processing, digital image transformation, image enhancement, digital image restoration, the basic concept of digital image coding, digital image analysis, the basic method and the realization of the important algorithms. Through learning of this course, students should master the basic concept of the digital image processing, the basic method and the realization of the important algorithms of the transformation of digital image, digital image enhancement, digital image restoration, image coding and digital image analysis and so on, which can lay a foundation for computer graphics, multimedia processing, pattern recognition and other engineering application and subsequent courses .
Chapter 1 Overview of Image Processing (2 Hours, requirement to understand)