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.
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