Abstract:
This article discusses a large number of textural features and integral
transformations for the analysis of texture-type images. It also discusses the
description and analysis of the features of applying existing methods for
segmenting texture areas in images and determining the advantages and
disadvantages of these methods and the problems that arise in the
segmentation of texture areas in images. The purpose of the ongoing
research is to use methods and determine the effectiveness of methods for
the analysis of aerospace images, which are a combination of textural
regions of natural origin and artificial objects. Currently, the automation of
the processing of aerospace information, in particular images of the earth’s
surface, remains an urgent task. The main goal is to develop models and
methods for more efficient use of information technologies for the analysis
of multispectral texture-type images in the developed algorithms. The article
proposes a comprehensive approach to these issues, that is, the consideration
of a large number of textural features by integral transformation to
eventually create algorithms and programs applicable to solving a wide class
of problems in agriculture.
