BRADSKI, Gary; KAEHLER, Adrian. Learning OpenCV: Computer vision with the OpenCV library. [S.l.]: " O’Reilly Media, Inc.", 2008.
GONZALEZ, R. C.; WOODS, R. E. Digital Image Processing. 4th. ed. New York: Pearson, 2018.
ITU-R.
Recommendation BT.601: Studio encoding parameters of digital television for standard 4:3 and wide screen 16:9 aspect ratios.
https://www.itu.int/rec/R-REC-BT.601/, 2011.
KNUTH, Donald E.
Literate Programming.
The Computer Journal, v. 27, n. 2, p. 97–111, 1984.
LEWIS, Patrick et al. Retrieval-augmented generation for knowledge-intensive nlp tasks. Advances in neural information processing systems, v. 33, p. 9459–9474, 2020.
OTSU, Nobuyuki.
A Threshold Selection Method from Gray-Level Histograms.
IEEE Transactions on Systems, Man, and Cybernetics, v. 9, n. 1, p. 62–66, 1979.
SINGH, Himanshu. Practical machine learning and image processing. [S.l.]: Springer, 2019.
SZELISKI, Richard.
Computer Vision: Algorithms and Applications. 2. ed.
[S.l.]: Springer, 2022.
ZAMPIROLLI, Francisco de Assis
et al. Teaching Hands-On Digital Image Processing with morph.py: Methods and Comprehensive Results.
Revista Brasileira de Informática na Educação, v. 33, p. 990–1026, 2025.