Extraction of the Air Target Position on the CCD Image

After comprehensively studying OSTU method with maximum variance between two classes and the genetic algorithm (GA) principle, an OSTU method based on the self adaptive genetic algorithm (SAGA) is proposed for image segmentation. In this paper, the OSTU method is optimized in the GA based on the encoding, selection, crossover and mutation operations. The experimental results show that by using SAGA method, the efficiency of getting the optimal solutions can be improved, the premature problem can be avoided to a great extent and finally the satisfying solution can be achieved. The image segmentation results show that the OSTU method based on the SAGA is not only quicker in computing speed, but also higher quality in image segmentation. On the basis of the better image segmentation result, the target position in the CCD image can be extracted more accurately in the centroid method.