Application of Neural Networks in Image Definition Recognition

To simulate the auto-focus mechanism of human's eyes by using artificial neural networks is a reasonable and available way to improve the auto-focus effect of digital cameras. The evaluation of image definition plays a key role in the auto-focus of digital cameras, so constructing the image definition evaluation is an important step of designing auto-focus systems. In this paper, we use the pattern recognition method of the RBF neural networks to recognize the image definition. The designed neural networks are trained by the training set that is composed of 75 pictures. Then, the testing set that is composed of 102 pictures is verified experimentally. The experiment results indicate that this method is quite effective. The method gives full play to self-adapting ability of neural networks and gets a higher recognition rate.