A component framework for reusing a proprietary computer-aided engineering environment
Advances in Engineering Software
MTES: visual programming environment for teaching and research in image processing
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part I
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Laboratory experiments for image processing courses are usually software implementations of processing algorithms, but students of image processing come from diverse backgrounds with widely differing software experience. To avoid learning overhead, the software system should be easy to learn and use, even for those with no exposure to mathematical programming languages or object-oriented programming. The class library for image processing (CLIP) supports users with knowledge of C, by providing three C++ types with small public interfaces, including natural and efficient operator overloading. CLIP programs are compact and fast. Experience in using the system in undergraduate and graduate teaching indicates that it supports subject matter learning with little distraction from language/system learning.