An approach is proposed for formulation of general requirements imposed on algorithms of digital processing of images in optoelectronic systems of the new generation. Consideration is given to principles of development and hardware realization of digital processing and image synthesis algorithms, elaboration of initial background-target models for the algorithms, quality estimation methods for image processing algorithms.

Methods of object coordinates measurement by television surveillance system are considered. The observation data errors are filtered out by means of an adaptive Kalman filter, adaptation is related to possible change of object trajectory at an unknown instant and subsequent loss and appearance of the object (e.g., because of a cloudy cover). Maneuver of object is detected from velocity estimation after Kalman filtering which is adapted with the use of variation of filter coefficients, while object disappearance switches the filter to trajectory prediction mode. Algorithms of maneuver detection accounting for loss of the object are designed; dynamic and fluctuation errors of trajectory prediction when the object appears from area of occlusion are estimated.

Methods of automatic segmentation and simultaneous tracking on several objects at inhomogeneous background are reviewed. Adaptive correlation algorithms of object tracking are developed for the case when initial target destination is secured. Several methods are proposed for automatic capture and tracking of numerical objects. The correlation tracking algorithm employs adaptation of the slide window size to the object shape and dynamic signal accumulation technique. The problems of automatic segmentation and simultaneous tracking of several objects are solved on the base of motion vectors (optical flow) and Gaussian shape model. Presented results of experimental testing of developed algorithms makes it possible to evaluate their efficiency and reliability.

An adaptive spatial filtering method is developed for impulse noise removal in digital color images. The method is based on multi-channel rank (median) vector filtering in two slide windows of different size. Additive noise suppression is achieved by using a channel with minimal signal variation. Small image details and object edges are preserved due to minimal window size selection. Impulse noise removal and retention of color characteristics are provided by setting the vector with minimal distance from evaluated median vector.

An analysis is presented of methods applied for correction for nonuniformity of sensitivity across infrared photodetector array in modern optoelectronic devices. Adaptive methods of digital processing of thermovision images in varying observation conditions are considered.

Dependence is investigated of distribution law for fluctuations of IR signal from near-horizon area of the sea on observation conditions and optical system parameters. The results are applied to development of automated signal processing in optoelectronic systems. Recommendations are formulated on selection of methods for processing algorithm adaptation to current observation conditions.

A system designed for supervision and mapping of 3D spatial scenes in simulators of underwater vehicles is presented. Key features of the developed system are described. The system provides three types of mapping an underwater situation: three-dimensional view approximating the real scene; three-dimensional map affording an informational representation; view similar to a sea map. Principles of the system architecture based on a hierarchical principle are considered.

Systems of three-dimensional mapping and supervision of geo-space conditions including the Earth surface, orbital companions, and dynamic objects on the surface are considered. An approach to development of such a system is presented and its separate components (orbital objects and the Earth surface) are described. Possible applications of the systems are outlined.

Possible methods to be applied to analysis of puppilograms are considered: approximation method based on minimization of disparity between analyzed puppilogram and an analytic function; pupillogram classification with the use of extremuma. Special consideration is given to advantages and disadvantages of approach based on neuron net employment.

Effects of human skin exposure to laser radiation are modeled both mathematically and digitally. Thermal sources caused by blood flow were introduced into heat transfer equation to account for the blood perfusion in tissue. Blood flow rate dependence on temperature is shown to affect significantly the effect of laser heating.

A method is proposed for processing of biomedical object images based on analysis of the image similarity with a standard image in a feature space. Efficiency of the method is demonstrated by examples of object separation from medical image samples and determination of morphometric and densitometric properties of the objects

A method for processing of multispectral images of biomedical preparation is proposed. The method is based on task-oriented visualization and interactive selection of examined objects. Every band of multispectral image is used for the visualization. Textural, gradient features and priory information may also be used for the visualization.