Interaction between different types of domain-constraint knowledge in image segmentation

Stuart W. Wells; Matthew O. Ward

doi:10.1117/12.143062

20 April 1993 Interaction between different types of domain-constraint knowledge in image segmentation

Stuart W. Wells, Matthew O. Ward

Proceedings Volume 1827, Model-Based Vision; (1993) https://doi.org/10.1117/12.143062
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

Abstract

Image segmentation systems which employs domain specific knowledge produce, in general, results superior to context-free systems. A significant drawback with using domain specific knowledge is its lack of portability and excessive development and computation time. In this paper, we investigate using a general rule based segmentation system and augmenting it with domain constraint knowledge to improve the performance of the system. We also investigate interactions between multiple types of domain constraint knowledge and their effect on parameter selection and rule ordering.

Citation Download Citation

Stuart W. Wells and Matthew O. Ward "Interaction between different types of domain-constraint knowledge in image segmentation", Proc. SPIE 1827, Model-Based Vision, (20 April 1993); https://doi.org/10.1117/12.143062

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