Combining image analysis and modular neural networks for classification of mineral inclusions and pores in archaeological potsherds

Experimental results show that the created modular classifier provides high classification accuracy for both inclusions and pores. The classifier was finally applied absent the image analysis phase on new samples to show the effectiveness of the proposed methodology.