The Use of Q-Preparation for Amplitude Filtering of Discreted Image

Timchenko, Leonid; Kokriatskaia, Natalia I.; Rozvodiuk, Mykhailo; Tverdomed, Volodymyr; Kutaev, Yuri; Smailova, Saule; Plisenko, Vladyslav; Semenova, Liudmyla; Zhuk, Dmytro

doi:10.35784/iapgos.3246

Cited by 2 publications

(4 citation statements)

References 17 publications

(26 reference statements)

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“…The article proposes a method of recursive generalizedcontour preparation [18,21] and a PH transformation [19] method for the problem of image segmentation in rail head defects, which allows to overcome the shortcomings inherent in the segmentation method based on increasing elements due to the fact that the threshold calculation is adapted to the image itself and an algorithm for its recursive determination is developed. The positive effect is achieved due to the use of a generalized-contour preparation operation for each branch of the PH network, and the formation of a hierarchical structure of a highfrequency filter in the PH network, the frequency characteristics of which decrease with each level of the network.…”

Section: Discussionmentioning

confidence: 99%

“…WaterShed is suitable for images with a simple texture. Therefore, the segmentation algorithm should be chosen according to the specific task [13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, an actual problem is the development of theoretically based simple and fast methods that allow segmentation of halftone images in arbitrary configuration and placement and provide the required accuracy and reliability, which is, for example, a method of image processing with generalized contour preparation and parallel-hierarchical transformation [18][19], proposed for processing images of rail head cracks.…”

Section: Introductionmentioning

confidence: 99%

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Image segmentation method of rail head defects and area measurement of selected segments

Tverdomed,

Gorban,

Kushmar

2024

MATEC Web Conf.

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The operation safety of railway transport, which is the most important economic and social factor, is largely determined by the technical condition of the rail track and measures to maintain the quality of its track management system. One of the system elements for ensuring the accident-free operation of the track is the technical diagnosis of rails using a method complex of non-destructive control of rails, such as acoustic (ultrasonic), magnetic, combined, etc., and monitoring of the track using methods of measuring the geometry of the rail track and its disturbances. When the wheel interacts with the rail, especially on high-speed and load-stressed sections, defects and damage inevitably occur in the rails. A rather large share of such defects are on the rolling surface of the rail head. Formed defects develop rapidly, which seriously complicates the safety of train traffic. Therefore, accurate and quick detection of defects on the rolling surface of the rail head is very important. However, it is quite difficult to detect defects on the rolling surface of the rail by the acoustic (ultrasound) method due to the violation of tight contact between the rolling surface of the rail head and the piezoelectric transducer. In this case, it is quite convenient to detect surface defects of the rail head using video control. The article provides a comparative analysis of segmentation methods. There has been presented the method of image segmentation of main rail defects based on general contour preparation and parallel-hierarchical (PH) transformation using their classification. The parallel-hierarchical transformation method allows to increase the segmentation accuracy of individual areas in the original image compared to similar ones. The algorithm of pyramidal generalized-contour preparation and the criterion system allows, by calculating the threshold for each level of the gray scale, to present the study of the image with the corresponding contour preparations at the segmentation level. Modeling of recursive generalized-contour preparation and PH transformation method for image segmentation problem of rail head defects shows that, compared to the segmentation method based on the increase of areas, the accuracy of image segmentation is better. A modified method of calculating the image contour area based on the coding of lines forming the boundaries of the black and white areas of the two-gradation image has been given.

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Section: Discussionmentioning

confidence: 99%

“…WaterShed is suitable for images with a simple texture. Therefore, the segmentation algorithm should be chosen according to the specific task [13][14][15][16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Image segmentation method of rail head defects and area measurement of selected segments

Tverdomed,

Gorban,

Kushmar

2024

MATEC Web Conf.

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“…Moreover, the choice of the element from the set 𝑀 1,𝑘 0 by 𝐹 # -criterion occurs only if the elements of this set are correlated with each other in time 19,20 .…”

Section: Methods and Algorithmsmentioning

confidence: 99%

Optical parallel-hierarchical structures of correlation interactions multistage process analysis for organization of neuro-like computing

Tymchenko,

Kokriatska,

Tverdomed

et al. 2023

Optical Fibers and Their Applications 2023

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The article examines the analysis of the multistage process of correlation interactions in parallel-hierarchical structures for organization of neuro-like calculations. The process of formation of parallel-hierarchical network is considered in detail. The graph-scheme of PH transformation is given. The process of elements formation for five levels of the network is analyzed. It was determined which elements are correlated and decorrelated in time. Based on the analysis, a structural-functional model of correlation interactions of parallel-hierarchical network elements was developed.

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The Use of Q-Preparation for Amplitude Filtering of Discreted Image

Cited by 2 publications

References 17 publications

Image segmentation method of rail head defects and area measurement of selected segments

Image segmentation method of rail head defects and area measurement of selected segments

Optical parallel-hierarchical structures of correlation interactions multistage process analysis for organization of neuro-like computing

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