Image formalization space: Formulation of tasks, structural properties, and elements

• Published in: Pattern recognition and image analysis Vol. 21; no. 2; pp. 134 - 139
• Main Authors: Gurevich, I. B., Yashina, V. V.
• Format: Journal Article
• Language: English
• Published: Dordrecht SP MAIK Nauka/Interperiodica 01.06.2011; Springer Nature B.V
• Subjects: Algebra; Analysis; Axioms; Computer Science; Image analysis; Image Processing and Computer Vision; Image processing systems; Information processing; Joints; Mathematical models; Pattern Recognition; Plenary Papers; Recognition; Studies; Tasks; Transformations; Image Model; Understanding Task; Image Realization Space; Descriptive Approach; Image Algebra
• ISSN: 1054-6618; 1555-6212
• DOI: 10.1134/S1054661811020386

The work is devoted to developing the main results in solving the fundamental problem of formalization and systematization of methods and forms of information representation in image analysis, recognition, and understanding tasks. This problem arises in connection with development of the descriptive approach to image analysis and understanding. The main result is the concept of image spatial formalization, including a set of image states and a set of states of image transformation schemes. We consider the construction of algorithmic schemes generating phase trajectories for solving problems of image analysis and recognition. We present axioms defining the properties and structure of the image formalization space. The introduced system of concepts constitute the basis for standardizing methods for synthesizing image models oriented to image analysis and understanding tasks.