Teaching Digital Image Processing in an Application-Oriented College

Abstract

With its broad application areas of exceptional social and economic value, digital image processing has gained wide popularity as an undergraduate course for students majoring in Computer Science and Technology. Also, it has stepped into many application-oriented colleges, which differ from common universities in teaching goals and characteristics of students. This paper presents some new teaching methods of Digital Image Processing in an application-oriented college. In classroom presentation, more vivid illustrations and less formula derivations are given. While in laboratory exercises, students are instructed to develop some basic image processing functions commonly used in daily digital lives. This acts as a main clue for the whole course: with the progress of classroom teaching, various image processing features are gradually added to the softwares developed by students themselves. Following these methods, students are stimulated and remarkable teaching results are achieved.