A new algorithm based on super-green features for ostu´s method using image segmentation

Image recognition technology is a new plant disease diagnosis. Image segmentation can be isolated lesion and background. The accuracy of its identification has important implications. We propose a new image segmentation algorithm which is based on super-green features and OSTU methods. This segmentation algorithm is good, and easy to implement. It is able to provide good pre-treatment of disease identification results, and improve recognition accuracy. This algorithm was applied in the corn diseases identified study work. The results show that the algorithm has good accuracy.