Knowledge-based visual image processing IDE model for algorithm and system rapid prototyping

Biyin Zhang; Wei Chen; Yuanbin Wang

doi:10.1117/12.833722

30 October 2009 Knowledge-based visual image processing IDE model for algorithm and system rapid prototyping

Biyin Zhang, Wei Chen, Yuanbin Wang

Proceedings Volume 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques; 749715 (2009) https://doi.org/10.1117/12.833722
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

A novel intelligent model for Image Processing (IP) research integrated development environment (IDE) is presented for rapid converting conceptual model of IP algorithm into computational model and program implementation. Considering psychology of IP and computer programming, this model presents a cycle model of IP research process and establishes an improved expert system prototype. Visualization approaches are introduced into visualizing three phases of IP development. An intelligent methodology is applied to reuse algorithms, graphical user interfaces (GUI) and data visualizing tools. Thus, researchers are allowed to fix more attention only on their own interest algorithm models. Experimental results show that the development based the new model enhances rapid algorithm prototype modeling with great efficiency and speed.

Citation Download Citation

Biyin Zhang, Wei Chen, and Yuanbin Wang "Knowledge-based visual image processing IDE model for algorithm and system rapid prototyping", Proc. SPIE 7497, MIPPR 2009: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 749715 (30 October 2009); https://doi.org/10.1117/12.833722

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