College of Science

The purpose of this research is to see how useful it to use genetic programming in performing image clustering as well as in performing vector quantization for image compression applications. Two genetic based clustering algorithms (Centroid Based Genetic Clustering Algorithm CBGCA and Partition Based Genetic Clustering Algorithm CBGCA) implemented for clustering a two-dimensional gray level images. Also, the traditional K-means clustering algorithm implemented, which used for comparison purpose.