A robust edge detection technique based on Matching Pursuit algorithm for natural and medical images
Yazarlar (2)
Soheil Elmı
Dr. Öğr. Üyesi Zehra ELMI İstinye Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(Diğer hakemli uluslarası dergilerde yayınlanan tam makale)
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| Dergi Adı | Biomedical Engineering Advances | ||
| Dergi ISSN | 2667-0992 | ||
| Dergi Tarandığı Indeksler | Directory of Open Access Journals (DOAJ) | ||
| Makale Dili | Türkçe | Basım Tarihi | 12-2022 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 01-12-2022 |
| Cilt / Sayı / Sayfa | 4 / 0 / – | DOI | 10.1016/j.bea.2022.100052 |
| Makale Linki | https://doi.org/10.1016/j.bea.2022.100052 | ||
| UAK Araştırma Alanları |
Yapay Zeka
Robotik
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| Özet |
| Edge detection has been used widely in image processing, image recognition, and computer vision. Several edge detection techniques have been suggested over time; however, each has a lot of disadvantages. Our method has some steps. At first, the image should be converted into a grayscale image. A 3*3pattern grid is used for producing a discrete vector for any pixel in the present study. Secondly, the length of the pixel vector is increased to linearize and expand. Thirdly, the Matching Pursuit algorithm is applied to the image, and the residual part of the Matching Pursuit algorithm is extracted. Finally, two Hysteresis thresholds have been used for detecting edge pixels. The edge detection problem has been converted into a signal processing problem, so it will be less time-consuming. Moreover, the proposed algorithm is insensitive to noise, and this method can detect weak edge pixels. Also, the performance of … |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 20 |