Assessment of Disaster Rescue Sign Detection based Image Processing

This paper proposes a practical, robust and efficient new search and detection scheme to quickly detect and locate any person stuck in their home or underground during any disaster and facilitate the rescue team task and consequently save lives The most important thing a bout this new approach is that the person waiting for the rescue team posts outdoor a rescue sign that they can make with any items they can find around them and should not be coincided with any familiar existing sign. Two detection mehodlogy is use. (1) create a maximum color database with value normalization regonition. (2) pattern recognition will be sue for the sign detection, then evaluation