American Psychological Association 6th edition

Fuentes-Alventosa, A., Gómez-Luna, J., & Medina-Carnicer, R. (2022). GUD-Canny: a real-time GPU-based unsupervised and distributed Canny edge detector. Journal of Real-Time Image Processing, 1-15. https://doi.org/10.1007/s11554-022-01208-0

ISO-690 (author-date, English)

FUENTES-ALVENTOSA, Antonio, GÓMEZ-LUNA, Juan and MEDINA-CARNICER, R., 2022. GUD-Canny: a real-time GPU-based unsupervised and distributed Canny edge detector. Journal of Real-Time Image Processing. 5 March 2022. P. 1-15. DOI 10.1007/s11554-022-01208-0.

Modern Language Association 9th edition

Fuentes-Alventosa, A., J. Gómez-Luna, and R. Medina-Carnicer. “GUD-Canny: A Real-Time GPU-Based Unsupervised and Distributed Canny Edge Detector”. Journal of Real-Time Image Processing, Mar. 2022, pp. 1-15, https://doi.org/10.1007/s11554-022-01208-0.

Mohr Siebeck - Recht (Deutsch - Österreich)

Fuentes-Alventosa, Antonio/Gómez-Luna, Juan/Medina-Carnicer, R.: GUD-Canny: a real-time GPU-based unsupervised and distributed Canny edge detector, Journal of Real-Time Image Processing 2022, 1-15.

Emerald - Harvard

Fuentes-Alventosa, A., Gómez-Luna, J. and Medina-Carnicer, R. (2022), “GUD-Canny: a real-time GPU-based unsupervised and distributed Canny edge detector”, Journal of Real-Time Image Processing, pp. 1-15.

Warning: These citations may not always be 100% accurate.