There is a theory and methods of the image adaptive optimized automatic processing. Optoelectronic devices form them upon detection, identification and tracking of the air dynamic objects in the complex background conditions.

The base of them are the wavelet-fractal-correlative methods for information processing without using
of a priori data about the current situation in the controlled zone by the optoelectronic devices.

The authors solved the auto detection problem, the type identification, the dynamic objects tracking in the complex background conditions. They built the image processing algorithm based on the three-dimensional long, low-sized and point-contact low-contrast clusters of the phono-target frame pixels. There is a software implementation of comprehensive algorithm. It is the wavelet-fractal-correlative-statistical algorithm. This algorithm, in automatic mode, provides for solving the detection problem and tracking of the dynamic objects on the phono-target images of the optoelectronic devices. Then this algorithm forms the information for the detection of the dynamic object type. After that it gives the information for the present state analysis of the controlled phono-target environment.

The developed methods and algorithms are new direction in theory and practice of the image digital processing in aprior uncertainties environment.