Interpretive programming language for image algebra

Arthur Robert Weeks; Harley R. Myler; L. D. Cinci IV

doi:10.1117/12.179189

30 June 1994 Interpretive programming language for image algebra

Arthur Robert Weeks, Harley R. Myler, L. D. Cinci IV

Proceedings Volume 2300, Image Algebra and Morphological Image Processing V; (1994) https://doi.org/10.1117/12.179189
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

Image Algebra (IA) was developed to provide a standard mathematical means of describing image processing algorithms. The goal of IA was to reduce the amount of programming code required in implementing an image processing algorithm. IA has been successful in expressing many linear and nonlinear image processing algorithms in a short and concise manner using a basic set of operators. When placed in a programming environment, IA enables the programmer to write image processing algorithms at a high level of abstraction and with a high degree of readability. IA functions have been developed for several programming languages such as ADA, FORTRAN, and C either as an external library or as a preprocessor.

Citation Download Citation

Arthur Robert Weeks, Harley R. Myler, and L. D. Cinci IV "Interpretive programming language for image algebra", Proc. SPIE 2300, Image Algebra and Morphological Image Processing V, (30 June 1994); https://doi.org/10.1117/12.179189

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