Artificial Neural Network and Image Processing Based Compressive Strength Prediction

There are many artifacts from various civilizations in our country, reaching day by day. Historical masonry structures also among the that considered cultural heritage. For this reason, detailed examination of these historical structures, testing samples structure and documentation information obtained tests is a very important issue terms ensuring can be transmitted to future generations robust manner. In article, it planned examine stones used with computerized vision technology. different qualities taken quarries will images primarily through camera. Later on, image each sample transferred computer environment features belonging removed processing. tested laboratory their strengths measured. Consequently, data attained results processing compared calibration proposed based analysis method done. As result studies, possible carry out experimental applications environment. Again due studies complex lengthy significantly shortened; some characteristics simple camera measured quickly setting.