Resumen

LUNA ALVAREZ, A.; MUJICA VARGAS, D.; RUBIO, J. de J.  y  ROSALES SILVA, A.. Pulse-coupled neural network based on an adaptive Gabor filter for pavement crack segmentation. J. appl. res. technol [online]. 2024, vol.22, n.1, pp.102-110.  Epub 11-Ago-2025. ISSN 2448-6736.  https://doi.org/10.22201/icat.24486736e.2024.22.1.1837.

This article proposes a pulse-coupled neural network based on an adaptive Gabor filter for pavement crack segmentation in digital images. By estimating the image noise, the filter parameters that convolves the neurons of the model are adjusted. As a result, iterations were reduced to 2% with ≈ 90% precision. The algorithm was parallelized on GPU and the processing time was reduced to n/ 𝑁𝑀 regardless of the M and N dimensions of the image.

Palabras llave : Pulse-coupled neural network; adaptive Gabor filter; parallel processing; crack segmentation.

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