Extraction of Cattle Retinal Vascular Patterns with Different Segmentation Methods

Pınar Cihan; Ahmet Saygılı; Muhammed Akyüzlü; Nihat Eren Özmen; Celal Şahin Ermutlu; Uğur Aydın; Alican Yılmaz; Özgür Aksoy

doi:10.35377/saucis...1509150

EN

Extraction of Cattle Retinal Vascular Patterns with Different Segmentation Methods

Abstract

In the field of animal husbandry, the process of animal identification and recognition is challenging, time-consuming, and costly. In Türkiye, the ear tagging method is widely used for animal identification. However, this traditional method has many significant disadvantages such as lost tags, the ability to copy and replicate tags, and negative impacts on animal welfare. Therefore, in some countries, biometric identification methods are being developed and used as alternatives to overcome the disadvantages of traditional methods. Retina vessel patterns are a biometric identifier with potential in biometric identification studies. Preprocessing steps and vessel segmentation emerge as crucial steps in image processing-based identification and recognition systems. In this study, conducted in the Kars region of Türkiye, a series of preprocessing steps were applied to retinal images collected from cattle. Fuzzy c-means, k-means, and level-set methods were utilized for vessel segmentation. The segmented vascular structures obtained with these methods were comparatively analyzed. As a result of the comparison, it was observed that all models successfully performed retinal main vessel structure segmentation, fine vessels were successfully identified with fuzzy c-means, and spots in retinal images were detected only by the level-set method. Evaluating the success of these methods in identification, recognition, or disease detection will facilitate the development of successful systems.

Keywords

Supporting Institution

This work was supported by the Turkish Scientific and Technical Research Council-TÜBİTAK (Project Number: 121E349).

Project Number

121E349

Ethical Statement

The study was approved by the Kafkas University Animal Experiments Local Ethics Committee (Protocol number: KAÜ-HADYEK/2024-123).

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Details

Primary Language

English

Subjects

Computer Software

Journal Section

Research Article

Authors

Pınar Cihan
0000-0001-7958-7251
Türkiye

Ahmet Saygılı ^*
0000-0001-8625-4842
Türkiye

Muhammed Akyüzlü
0009-0006-3940-520X
Türkiye

Nihat Eren Özmen
0000-0002-0053-3865
Türkiye

Celal Şahin Ermutlu
0000-0002-8923-7682
Türkiye

Uğur Aydın
0000-0001-5756-4841
Türkiye

Alican Yılmaz
0000-0001-7042-1749
Türkiye

Özgür Aksoy
0000-0002-4800-6079
Türkiye

Early Pub Date

November 29, 2024

Publication Date

December 31, 2024

Submission Date

July 2, 2024

Acceptance Date

November 4, 2024

Published in Issue

Year 2024 Volume: 7 Number: 3

DOI

https://doi.org/10.35377/saucis...1509150

IZ

https://izlik.org/JA79XM94UX

Cite

RIS / Bibtex

APA

Cihan, P., Saygılı, A., Akyüzlü, M., Özmen, N. E., Ermutlu, C. Ş., Aydın, U., Yılmaz, A., & Aksoy, Ö. (2024). Extraction of Cattle Retinal Vascular Patterns with Different Segmentation Methods. Sakarya University Journal of Computer and Information Sciences, 7(3), 378-388. https://doi.org/10.35377/saucis...1509150

AMA

1.Cihan P, Saygılı A, Akyüzlü M, et al. Extraction of Cattle Retinal Vascular Patterns with Different Segmentation Methods. SAUCIS. 2024;7(3):378-388. doi:10.35377/saucis.1509150

Chicago

Cihan, Pınar, Ahmet Saygılı, Muhammed Akyüzlü, et al. 2024. “Extraction of Cattle Retinal Vascular Patterns With Different Segmentation Methods”. Sakarya University Journal of Computer and Information Sciences 7 (3): 378-88. https://doi.org/10.35377/saucis. 1509150.

EndNote

Cihan P, Saygılı A, Akyüzlü M, Özmen NE, Ermutlu CŞ, Aydın U, Yılmaz A, Aksoy Ö (December 1, 2024) Extraction of Cattle Retinal Vascular Patterns with Different Segmentation Methods. Sakarya University Journal of Computer and Information Sciences 7 3 378–388.

IEEE

[1]P. Cihan et al., “Extraction of Cattle Retinal Vascular Patterns with Different Segmentation Methods”, SAUCIS, vol. 7, no. 3, pp. 378–388, Dec. 2024, doi: 10.35377/saucis...1509150.

ISNAD

Cihan, Pınar - Saygılı, Ahmet - Akyüzlü, Muhammed - Özmen, Nihat Eren - Ermutlu, Celal Şahin - Aydın, Uğur - Yılmaz, Alican - Aksoy, Özgür. “Extraction of Cattle Retinal Vascular Patterns With Different Segmentation Methods”. Sakarya University Journal of Computer and Information Sciences 7/3 (December 1, 2024): 378-388. https://doi.org/10.35377/saucis. 1509150.

JAMA

1.Cihan P, Saygılı A, Akyüzlü M, Özmen NE, Ermutlu CŞ, Aydın U, Yılmaz A, Aksoy Ö. Extraction of Cattle Retinal Vascular Patterns with Different Segmentation Methods. SAUCIS. 2024;7:378–388.

MLA

Cihan, Pınar, et al. “Extraction of Cattle Retinal Vascular Patterns With Different Segmentation Methods”. Sakarya University Journal of Computer and Information Sciences, vol. 7, no. 3, Dec. 2024, pp. 378-8, doi:10.35377/saucis. 1509150.

Vancouver

1.Pınar Cihan, Ahmet Saygılı, Muhammed Akyüzlü, Nihat Eren Özmen, Celal Şahin Ermutlu, Uğur Aydın, Alican Yılmaz, Özgür Aksoy. Extraction of Cattle Retinal Vascular Patterns with Different Segmentation Methods. SAUCIS. 2024 Dec. 1;7(3):378-8. doi:10.35377/saucis. 1509150

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