Segmentation of electric equipment infrared image based on CA and OTSU

An image enhancement and segmentation algorithm is put forward for the object recognition and diagnosis of electric equipment infrared images based on CA(Cellular Automata) and OTSU method.The top hat transformation and low cap transformation are combined to enhance the infrared images of electric equipment and CA is then applied to detect the edges of the enhanced images,which are transformed into binary variables and merged into images segmented by OTSU.Experimental results show that,after algorithm processing,the objects of infrared image become clearer and more suitable for observation by naked eyes.