Development of a Technique for the Spectral Description of Curves of Complex Shape for Problems of Object Classification
Vascular pathology symptoms can be determined by retinal image segmentation and classification. However, the retinal images from non-invasive diagnostics have a complex structure containing tree-like vascular beds, multiple segment boundaries, false segments, and various distortions. It should be no...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Ital Publication
2022-12-01
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| Series: | Emerging Science Journal |
| Subjects: | |
| Online Access: | https://ijournalse.org/index.php/ESJ/article/view/1520 |
| _version_ | 1797956845742063616 |
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| author | Aslan Tatarkanov Islam Alexandrov Alexander Muranov Abas Lampezhev |
| author_facet | Aslan Tatarkanov Islam Alexandrov Alexander Muranov Abas Lampezhev |
| author_sort | Aslan Tatarkanov |
| collection | DOAJ |
| description | Vascular pathology symptoms can be determined by retinal image segmentation and classification. However, the retinal images from non-invasive diagnostics have a complex structure containing tree-like vascular beds, multiple segment boundaries, false segments, and various distortions. It should be noted that complex structure images’ segmentation does not always provide a single solution. Thus, the goal is to increase the efficiency of vascular diagnostics. This study aims to develop a technique for describing the geometric properties of complexly structured image segments used for classifying vascular pathologies based on retinal images. The advantages and disadvantages of the existing methods and algorithms of segmentation were considered. The most effective use areas of the mentioned methods and algorithms are revealed. Through detecting retinal thrombosis, the algorithm's efficiency for constructing a mathematical model of an arbitrary shape segment based on the morphological processing of binary and halftone images was justified. A modified variant of this algorithm based on the spectral analysis procedure of arbitrary shape boundary curves was used for the spectral description of complex shape curves for classifying vascular pathologies based on retinal images. Two approaches have been developed. The first one allows obtaining a closing segment of the curve from a symmetric mapping of the initial parametric curves. The second involves intelligent data processing and obtaining contours of minimum thickness, forming convex sets. The results of experiments confirm the possibility of practical use of the developed technique to solve problems of vascular pathology classification based on retinal images, showing the correct forecast probability was 0.93 with all associated risk factors.
Doi: 10.28991/ESJ-2022-06-06-015
Full Text: PDF |
| first_indexed | 2024-04-10T23:56:17Z |
| format | Article |
| id | doaj.art-07409205b58947a7aab11fb003cc8ba8 |
| institution | Directory Open Access Journal |
| issn | 2610-9182 |
| language | English |
| last_indexed | 2024-04-10T23:56:17Z |
| publishDate | 2022-12-01 |
| publisher | Ital Publication |
| record_format | Article |
| series | Emerging Science Journal |
| spelling | doaj.art-07409205b58947a7aab11fb003cc8ba82023-01-10T12:50:42ZengItal PublicationEmerging Science Journal2610-91822022-12-01661455147510.28991/ESJ-2022-06-06-015418Development of a Technique for the Spectral Description of Curves of Complex Shape for Problems of Object ClassificationAslan Tatarkanov0Islam Alexandrov1Alexander Muranov2Abas Lampezhev3IDTI RAS Institute for Design - Technological Informatics of RAS, Moscow,IDTI RAS Institute for Design - Technological Informatics of RAS, Moscow,IDTI RAS Institute for Design - Technological Informatics of RAS, Moscow,IDTI RAS Institute for Design - Technological Informatics of RAS, Moscow,Vascular pathology symptoms can be determined by retinal image segmentation and classification. However, the retinal images from non-invasive diagnostics have a complex structure containing tree-like vascular beds, multiple segment boundaries, false segments, and various distortions. It should be noted that complex structure images’ segmentation does not always provide a single solution. Thus, the goal is to increase the efficiency of vascular diagnostics. This study aims to develop a technique for describing the geometric properties of complexly structured image segments used for classifying vascular pathologies based on retinal images. The advantages and disadvantages of the existing methods and algorithms of segmentation were considered. The most effective use areas of the mentioned methods and algorithms are revealed. Through detecting retinal thrombosis, the algorithm's efficiency for constructing a mathematical model of an arbitrary shape segment based on the morphological processing of binary and halftone images was justified. A modified variant of this algorithm based on the spectral analysis procedure of arbitrary shape boundary curves was used for the spectral description of complex shape curves for classifying vascular pathologies based on retinal images. Two approaches have been developed. The first one allows obtaining a closing segment of the curve from a symmetric mapping of the initial parametric curves. The second involves intelligent data processing and obtaining contours of minimum thickness, forming convex sets. The results of experiments confirm the possibility of practical use of the developed technique to solve problems of vascular pathology classification based on retinal images, showing the correct forecast probability was 0.93 with all associated risk factors. Doi: 10.28991/ESJ-2022-06-06-015 Full Text: PDFhttps://ijournalse.org/index.php/ESJ/article/view/1520morphological analysisfourier descriptorsimage skeletonminimum thickness contourimage analysis of eye vessels. |
| spellingShingle | Aslan Tatarkanov Islam Alexandrov Alexander Muranov Abas Lampezhev Development of a Technique for the Spectral Description of Curves of Complex Shape for Problems of Object Classification Emerging Science Journal morphological analysis fourier descriptors image skeleton minimum thickness contour image analysis of eye vessels. |
| title | Development of a Technique for the Spectral Description of Curves of Complex Shape for Problems of Object Classification |
| title_full | Development of a Technique for the Spectral Description of Curves of Complex Shape for Problems of Object Classification |
| title_fullStr | Development of a Technique for the Spectral Description of Curves of Complex Shape for Problems of Object Classification |
| title_full_unstemmed | Development of a Technique for the Spectral Description of Curves of Complex Shape for Problems of Object Classification |
| title_short | Development of a Technique for the Spectral Description of Curves of Complex Shape for Problems of Object Classification |
| title_sort | development of a technique for the spectral description of curves of complex shape for problems of object classification |
| topic | morphological analysis fourier descriptors image skeleton minimum thickness contour image analysis of eye vessels. |
| url | https://ijournalse.org/index.php/ESJ/article/view/1520 |
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