Abstract
This paper aims at analyzing the effects of the discretization process of the continuous Difference-of-Gaussians models obtained empirically by Enroth-Cugell and Robson (1966). The filter properties of the Discrete DoG kernels were analyzed in the frequency domain and their effects on input images were characterized by means of GLCM descriptors. The results demonstrate that the DoG Kernels behaviour range between true High-Frequency Enhancing filters and Band-pass filters depending on the discretization parameters. Moreover, the analysis of filtered images suggest that those kernels that enhance contrast come at a cost of higher entropy as well as lower spatial correlation.
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© 2015 Springer International Publishing Switzerland
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Arias, A., Sánchez, E., Martínez, L. (2015). Retinal DOG Filters: Effects of the Discretization Process. In: Ferrández Vicente, J., Álvarez-Sánchez, J., de la Paz López, F., Toledo-Moreo, F., Adeli, H. (eds) Artificial Computation in Biology and Medicine. IWINAC 2015. Lecture Notes in Computer Science(), vol 9107. Springer, Cham. https://doi.org/10.1007/978-3-319-18914-7_26
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DOI: https://doi.org/10.1007/978-3-319-18914-7_26
Publisher Name: Springer, Cham
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Online ISBN: 978-3-319-18914-7
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