Referências

BAHDANAU, Dzmitry; CHO, Kyunghyun; BENGIO, Yoshua. Neural Machine Translation by Jointly Learning to Align and Translate. In: 2015. Disponível em: <https://arxiv.org/abs/1409.0473>

BARRERA, Junior et al. MMach: a mathematical morphology toolbox for the KHOROS system. Journal of Electronic Imaging, v. 7, n. 1, p. 174–210, 1998.

BERGMANN, Paul et al. MVTec AD – A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection. In: 2019.

BRADSKI, Gary; KAEHLER, Adrian. Learning OpenCV: Computer vision with the OpenCV library. [S.l.]: " O’Reilly Media, Inc.", 2008.

COVER, T.; HART, P. Nearest neighbor pattern classification. IEEE Transactions on Information Theory, v. 13, n. 1, p. 21–27, 1967.

DALAL, N.; TRIGGS, B. Histograms of oriented gradients for human detection. In: 2005.

DOUGHERTY, Edward R.; LOTUFO, Roberto A. Hands-on morphological image processing. [S.l.]: SPIE press, 2003. v. 59

DUDA, Richard O.; HART, Peter E.; STORK, David G. Pattern Classification. 2nd. ed. New York: Wiley-Interscience, 2001.

GONZALEZ, R. C.; WOODS, R. E. Digital Image Processing. 4th. ed. New York: Pearson, 2018.

GOOGLE. NotebookLM. https://notebooklm.google.com, 2025.

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.

LIENHART, Rainer; MAYDT, Jochen. An Extended Set of Haar-like Features for Rapid Object Detection. In: 2002.

LOTUFO, R. A.; ZAMPIROLLI, F. A. Fast multidimensional parallel Euclidean distance transform based on mathematical morphology. In: 2001.

LOTUFO, Roberto A. et al. MMachLib functions and MMach operators. In: 1997.

MALLAT, Stéphane. A wavelet tour of signal processing. [S.l.]: Elsevier, 1999.

MATHERON, Georges. Random Sets and Integral Geometry. New York: John Wiley & Sons, 1975.

OJALA, Timo; PIETIKÄINEN, Matti; MÄENPÄÄ, Topi. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns. IEEE Trans. Pattern Anal. Mach. Intell., v. 24, n. 7, p. 971–987, jul. 2002.

OPPENHEIM, Alan V.; SCHAFER, Ronald W. Discrete-Time Signal Processing. [S.l.]: Pearson, 2010.

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.

PEDREGOSA, Fabian et al. Scikit-learn: Machine Learning in Python. Journal of Machine Learning Research, v. 12, p. 2825–2830, 2011.

QUILICI-GONZALEZ, José Artur; ZAMPIROLLI, Francisco de Assis. Sistemas Inteligentes e Mineração de Dados. [S.l.]: Editora UFABC, 2014.

QUILICI-GONZALEZ, José Artur; ZAMPIROLLI, Francisco de Assis; SOUZA, Fábio Rezende de. Sistemas Inteligentes e Mineração de Dados: Do Weka ao Python. 2. ed. [S.l.]: https://fzampirolli.github.io/si-md2/, 2026.

REDMON, Joseph et al. You Only Look Once: Unified, Real-Time Object Detection. In: 2016.

SERRA, Jean. Image Analysis and Mathematical Morphology. London: Academic Press, 1982. v. 1

SINGH, Himanshu. Practical machine learning and image processing. [S.l.]: Springer, 2019.

SINGH, Shobhna; LLOYD, Jerome; FLICKER, Felix. Hamiltonian Cycles on Ammann-Beenker Tilings. Physical Review X, v. 14, n. 3, p. 031005, 10 jul. 2024.

SMITH, Ray. An Overview of the Tesseract OCR Engine. In: IEEE Computer Society, 2007.

SMITH, Ray. History of the Tesseract OCR Engine: What Worked and What Didn’t. In: 2013.

SONG, Kechen; YAN, Yunhui. A Noise Robust Method Based on Completed Local Binary Patterns for Hot-Rolled Steel Strip Surface Defects. Applied Surface Science, v. 285, p. 858–864, 2013.

SZELISKI, Richard. Computer Vision: Algorithms and Applications. 2. ed. [S.l.]: Springer, 2022.

TABERNIK, Domen et al. Segmentation-Based Deep-Learning Approach for Surface-Defect Detection. Journal of Intelligent Manufacturing, v. 31, n. 3, p. 759–776, 2020.

VASWANI, Ashish et al. Attention Is All You Need. In: 2017. Disponível em: <https://arxiv.org/abs/1706.03762>

VIOLA, Paul; JONES, Michael. Rapid Object Detection Using a Boosted Cascade of Simple Features. In: IEEE Computer Society, 2001.

VIOLA, Paul; JONES, Michael J. Robust Real-Time Face Detection. International Journal of Computer Vision, v. 57, n. 2, p. 137–154, 2004.

WALLACE, Gregory K. The JPEG Still Picture Compression Standard. Communications of the ACM, v. 34, n. 4, p. 30–44, 1991.

ZAMPIROLLI, Francisco A. MCTest: Como Criar e Corrigir Exames Parametrizados. [S.l.]: Independente, 2023.

ZAMPIROLLI, Francisco de Assis et al. A Practical Digital Image Processing Course with morph.py. In: Porto Alegre, RS, Brasil: Sociedade Brasileira de Computação (SBC), 2024. Disponível em: <https://sol.sbc.org.br/index.php/educomp/article/view/28199>

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.