Semester: 3

Credit:2

Program: Computer Science

Course Module: Specialized Optional

Responsible: Li Xuewei

E-mail: lixuewei@tju.edu.cn

Department: College Intelligence and Computing, Tianjin University

Time Allocation (1 credit hour = 45 minutes)

0

4

28

Prerequisite

Ÿ Theory of computation basic: basic knowledge of the algorithm of digital image processing.

Ÿ Mathematics: basic knowledge ofmatrix, computing model.

Ÿ Programming language: the ability to write programs independently using matlab/python/c++ etc..

Course Objectives

Through experiments, on the one hand, students can master some commonly used image processing methods, combine theory with practice, and strengthen their understanding of basic theoretical knowledge; On the other hand, it can cultivate students' ability of hands-on programming and improve their ability of analyzing and solving problems in image processing.

CourseSyllabus

Ÿ Image enhancement oncolor image, such as Image Stylization, Pencil drawing etc..

Ÿ image enhancement methods in frequency domain and spatial domain, and compare the experiments’ results.

Ÿ Natural Image Annotation Tools

Ÿ Image mosaic with OpenCV

Ÿ Detection and recognition of traffic lights on urban roads

Ÿ Dynamic contour extraction in medical images.

Ÿ Video noise reduction and differential target detection

Ÿ Defect detection in industrial image, Adaptive threshold segmentation

Ÿ Other High level application

Textbooks & References

Ÿ Image Engineering(1st volume): image processing and analysis, Zhang Yujin，Tsinghua University Press, 1999,3.

Ÿ Digital image processing,Gonzalez, Electric Industry Press, 2003,3

Ÿ OpenCV tutorial

Capability Tasks

CT1: To think independently and complete the experiment as required.

CT2: To master the algorithm of image enhancement, image segmentation and be able to solve high-order problems with those basic algorithms.

CS1: To master the basic theoretical knowledge, and know the professional status and trends.

CS2: To get the initial capacity of using programming language to process any kind of images.

Achievements

Ÿ To understand concepts of image segmentation and enhancement. - Level: N

Ÿ To master the Matlab/python/C++ language. - Level: M

Ÿ To master the ability to understand and deal with the real problem on image. - Level: M

Students:Computer Science, Year 2

Assessment：

Exam

Assignment

Report

Term Paper

Presentation

Others

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Language of assessment：Chinese

Attendance： 0 % Homework: 0 %

Mid-term report/test： 50% Final report/test： 50 %