Contagem de Fibras em Imagens de Tomografia Ultrassônica em Matriz Cimentária usando Laplacian of Gaussian

• Douglas I. R. B. Braga IFES
• Cristina K. Dominicini IFES
• Jefferson O. Andrade IFES
• Rodolfo G. M. de Andrade IFES
• Karin S. Komati IFES

DOI: https://doi.org/10.5753/encompif.2023.229876

Abstract

This work proposes a system for the automatic detection of fibers in tomographic images of a cementitious matrix, using an image processing method, the detection of blobs using LoG (Laplacian of Gaussian). We verified that an advantage of LoG is that it detects blobs of different sizes, characteristic of its scale space that evaluates the image under different masks. The results were influenced by the format of the blobs, the method did not detect those with oval shapes and not very long. Of the eight samples evaluated, 4 of them showed high precision and recall values.

References

de Andrade, R. G. M., Pfeil, M. S., Battista, R. C., Toledo Filho, R. D., de Araújo, O. M. O., and Lopes, R. T. (2021). Comparison between methods to determine the fibre orientation factor of an hpfrc bridge box girder. Construction and Building Materials, 269:121291.

de Figueiredo, A. D. (2005). Capítulo 37 – concreto com fibras. In Isaia, G. C., editor, Concreto, Ensino, Pesquisa e Realizações, chapter 37, pages 1194–1225. Ibracon, São Paulo.

do Nascimento, F. B. C. (2015). Concreto reforçado com fibras de aço. Caderno de Graduação-Ciências Exatas e Tecnológicas-UNIT-ALAGOAS, 3(1):43–56.

Grauman, K. and Leibe, B. (2011). Chapter 3 – local features: detection and description. In Visual Object Recognition, pages 11–25. Springer.

Kong, H., Akakin, H. C., and Sarma, S. E. (2013). A generalized laplacian of gaussian filter for blob detection and its applications. IEEE transactions on cybernetics, 43(6):1719–1733.

Lindeberg, T. (1993). Detecting salient blob-like image structures and their scales with a scale-space primal sketch: A method for focus-of-attention. International Journal of Computer Vision, 11(3):283–318.

Lindeberg, T. (1998). Feature detection with automatic scale selection. International journal of computer vision, 30(2):79–116.

Maroni, G., Ermidoro, M., Previdi, F., and Bigini, G. (2017). Automated detection, extraction and counting of acne lesions for automatic evaluation and tracking of acne severity. In 2017 IEEE symposium series on computational intelligence (SSCI), pages 1–6. IEEE.

Xu, H., Lu, C., Berendt, R., Jha, N., and Mandal, M. (2016). Automatic nuclei detection based on generalized laplacian of gaussian filters. IEEE journal of biomedical and health informatics, 21(3):826–837.