Digital Image Processing
Medical image set compression using wavelet and lifting combined with new scanning techniques
Medical image set compression using wavelet and lifting combined with new scanning techniques
Cutting-edge research by undergraduates on a shoestring?
Journal of Computing Sciences in Colleges
Research with undergraduates: a survey of best practices
Journal of Computing Sciences in Colleges
Exposure to research through replication of research: a case in complex networks
ITiCSE '09 Proceedings of the 14th annual ACM SIGCSE conference on Innovation and technology in computer science education
Research experience for teachers: data analysis & mining, visualization, and image processing
Proceedings of the 45th ACM technical symposium on Computer science education
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In recent years, undergraduate research has gained significant attention in many computer science departments. There have been efforts to identify courses that could support undergraduate research activities. Some courses such as image processing provides excellent research opportunities to undergraduate students. However, in small and comprehensive schools there is little or no image processing research to support the course. This paper presents an approach that encourages undergraduate research in image processing. Through a systematic planning, students develop toolkits that will be used in the instruction of the course. The developer of each toolkit is recognized as the toolkits are presented in the classroom or made available on the web page of the course. This provides a chance to current students to get to know about the work of their peers and will encourage them to produce similar toolkits or improve the existing ones. This approach encourages class participation and enhances the quality of students' research projects.