Descriptive approach to image analysis: Image models

The brief review of main methods and features of the descriptive approach to image analysis (DAIA), viz. forming the system of concepts that characterize the initial information-images-in recognition problems, and descriptive image models designed for recognition problems, is given.At present, in terms of development of image analysis and recognition, it is critical to understand the nature of the initial information, viz. images, find methods of image representation and description to be used to construct image models designed for recognition problems, establish the mathematical language for the unified description of image models and their transformations that allow constructing image models and solving recognition problems, construct models to solve recognition problems in the form of standard algorithmic schemes that allow, in the general case, moving from the initial image to its model and from the model to the sought solution. The DAIA gives a single conceptual structure that helps develop and implement these models and the mathematical language. The main DAIA purpose is to structure and standardize different methods, operations and representations used in image recognition and analysis. The DAIA provides the conceptual and mathematical basis for image mining, with its axiomatic and formal configurations giving the ways and tools to represent and describe images to be analyzed and evaluated.

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