DETECTION OF QUASIPERIODIC TEXTURES WITH THE USE OF TWO-DIMENSIONAL POWER SPECTRUM CHARACTERISTICS
I. S. Gruzman1, K. Yu. Petrova2
a:2:{s:4:"TEXT";s:203:"1Novosibirsk State Technical University, pr. Karla Marksa 20, Novosibirsk, 630073 Russia
2“Samsung Electronics Co., Ltd.” Company, ul. Dvintsev 12, korp. 1, Moscow, 127018 Russia";s:4:"TYPE";s:4:"html";}
Keywords: detection algorithm, quasiperiodic texture, power spectrum, Bravais lattice, texture element
Subsection: ANALYSIS AND SYNTHESIS OF SIGNALS AND IMAGES
Abstract
An algorithm for detecting quasiperiodic textures is proposed, which is based on specific features of two-dimensional spectra obtained by using the discrete Fourier transform. The power spectra of the fragments are analyzed independently of each other, which provides the computational effectiveness of the detection algorithm. Examples demonstrating the use of the detection algorithm in the problem of image segmentation into two texture classes (periodic and nonperiodic) are presented. It is shown that the algorithm stably operates with significant deformations in the lattice of periodic textures.
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