SURF ve RANSAC Tabanlı Homografi Tahmini Kullanarak Otomatik İmaj Birleştirme
Öz
Anahtar Kelimeler
Kaynakça
- [1] Szeliski R., “Image alignment and stitching: A tutorial”, Found. Trends Comput. Graph. Vis., 2 (1): 1-104, (2007).
- [2] Sadi, S., Perdices-Gonzalez, S., Budhiraja, R., Lee, B. D., Khwaja, A. M. ve Mistry, P., “Image stitching for three-dimensional video”, U.S. Patent No. 10,313,656, (2019).
- [3] Li, Y., Randall, C.J., van Woesik, R. ve Ribeiro, E., “Underwater video mosaicing using topology and superpixel-based pairwise stitching”, Expert Syst. Appl., 119: 171-183, (2019).
- [4] PyarWin, K. ve Kitjaidure, Y., “Biomedical Images Stitching using ORB Feature Based Approach”, IEEE International Conference on Intelligent Informatics and Biomedical Sciences, Bangkok-Thailand, 221-225, (2018).
- [5] Hügl, S., Eckardt, F., Lexow, G. J., Majdani, O., Lenarz, T., ve Rau, T. S., “Increasing the resolution of morphological 3D image data sets through image stitching: application to the temporal bone”, Comput. Methods Biomech. Biomed. Eng. Imaging Vis., 5(6): 438-445, (2017).
- [6] Chen, W., Fu, Z., Yang, D. ve Deng, J., “Single-image depth perception in the wild”, 30th Conference on Neural Information Processing Systems (NIPS), Barcelona-Spain, 730-738, (2016).
- [7] Han, B. ve Lin, X., “A novel hybrid color registration algorithm for image stitching”, IEEE Trans. Consum. Electron., 52(3): 1129-1134, (2006).
- [8] Schmid, C., Mohr, R. ve Bauckhage, C., “Evaluation of interest point detectors”, Int. J. Comput. Vis., 37(2): 151-172, (2000).
Ayrıntılar
Birincil Dil
Türkçe
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Anil Bas
*
0000-0002-3833-6023
Türkiye
Yayımlanma Tarihi
1 Haziran 2022
Gönderilme Tarihi
12 Temmuz 2020
Kabul Tarihi
2 Kasım 2020
Yayımlandığı Sayı
Yıl 2022 Cilt: 25 Sayı: 2