Image texture model based on energy features

In information processing and control systems based on computer vision technologies, it is necessary to provide an effective indicative representation of images for their subsequent analysis. One of the widely used approaches is based on the construction of texture models. In this paper, the descrip...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-05, Vol.1902 (1), p.12120
Main Authors: Lyasheva, M M, Lyasheva, S A, Shleymovich, M P
Format: Article
Language:English
Subjects:
Computer vision
Data processing
Image classification
Physics
Pixels
Texture
Wavelet transforms
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Summary:In information processing and control systems based on computer vision technologies, it is necessary to provide an effective indicative representation of images for their subsequent analysis. One of the widely used approaches is based on the construction of texture models. In this paper, the description of the texture using energy features is considered. The proposed model is a set of weights of image pixels reflecting their significance from the point of view of image perception. The significance of the pixel is estimated using the energy of the coefficients of the orthogonal discrete multiresolution wavelet transform. The paper presents expressions for calculating pixel weights and shows that the resulting texture models can be used to classify images.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1902/1/012120