Studies on step―by―step practical teaching paradigm for"Digital image processing"course
Digital image processing is typically taught as a theoretical course with a small amount of practical hours.The underlying requirement is that,students should be able to write code based on common image libraries to solve image processing and analysis problems in practical engineering.However,it is difficult to fully cultivate students'practical hands―on skills with only a small amount of practical hours.In this paper,based on OpenCV,the authors propose a step―by―step practice teaching paradigm.It is specifically divided into four levels―"classroom―homework―experiment―major assignment",which provides students with a smooth learning curve of"algorithm function explanation―simple application of a single algorithm―fusion application of multiple algorithms―comprehensive application of engineering problems".The process assessment materials show,the quality of completion of most tasks by students exceeds expectations.And the course questionnaire shows most students quickly adapt to this practice teaching paradigm,and believe the system has effectively cultivated their ability to write image algorithms to solve practical engineering problems.
digital image processingstep―by―step practice teaching paradigmOpenCV
NETL
NSTL
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