Volume XLII-2/W12
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W12, 123-127, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W12-123-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W12, 123-127, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W12-123-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

  09 May 2019

09 May 2019

MODELS OF IMAGES WITH RADIAL-CIRCULAR STRUCTURE

V. R. Krasheninnikov, O. E. Malenova, and A. U. Subbotin V. R. Krasheninnikov et al.
  • Ulyanovsk State Technical University, Ulyanovsk, Russia

Keywords: Image, Random Field, Radial-Circular Structure, Model, Simulation, Doubly Stochastic

Abstract. The overwhelming majority of known image models are varieties of random fields defined on rectangular two-dimensional grids or grids of higher dimension, for example. In some practical situations, the images have an annular, radial or radial-circular structure. For example, images of the facies (thin film) of dried biological fluid, eyes, cut of a tree trunk or a fruit, blood vessel, erythrocyte, blast pattern, end face detail, etc. In addition, radar and other images are physically obtained in polar or spherical coordinates. These features of images require their consideration in their mathematical models. In this paper, an autoregressive models of homogeneous and inhomogeneous random fields defined on a circle or oval are considered as representations of images with radial or radial-circular structure.