An AIS approach to a color image classification problem in a real time industrial application

An artificial immune system is applied to a pattern recognition problem. Artificial immune systems (AIS) possess nonlinear classification properties along with the biological properties such as self/non-self identification, positive and negative selection. In this paper, we propose a computational implementation of negative selection of immune system along with genetic algorithm to perform a color image classification task. The images used for classification are finished wooden components. The wooden components are kitchen cabinets manufactured by American Woodmark Corporation. The images are obtained from Virginia Polytechnic Institute and State University. The classification addresses the average RGB values of the images and the percentage of correct classification is obtained for a set of test and sample images