Classification of Images Using ABC-GA, ABC-FCM and Naive Bayes Classifier

This paper compares two clustering algorithms and Naive Bayes classifier for trees, shade, building and road. It starts with the single step preprocessing procedure to make the image suitable for clustering. The pre-processed image is clustered using the ABC-FCM and ABC-GA algorithm. Classification accuracy and Davies Bould in index of two hybrid algorithms are compared.