Expressing imaging algorithms using a C++ based image algebra programming environment

Homogeneous Image Algebra is used as the basis for an image processing environment that uses the image, instead of the pixel, as the fundamental unit being manipulated. The object-oriented language C++ is used to implement the environment. Examples of applications are that include filtering, region growing, skeletonization, Fourier Transforms and Hadamard transforms are presented. This thesis concludes that C++ does have several features which are of great benefit in implementing image processing algorithms