(Springer, 2018) Marco Detchart, Cedric; López Molina, Carlos; Fernández Fernández, Francisco Javier; Pagola Barrio, Miguel; Bustince Sola, Humberto; Estatistika, Informatika eta Matematika; Institute of Smart Cities - ISC; Estadística, Informática y Matemáticas
Edge detection is a basic technique used as a preliminary step
for, e.g., object extraction and recognition in image processing. Many of
the methods for edge detection can be fit in the breakdown structure by
Bezdek, in which one of the key parts is feature extraction. This work
presents a method to extract edge features from a grayscale image using
the so-called ordered directionally monotone functions. For this purpose
we introduce some concepts about directional monotonicity and present
two construction methods for feature extraction operators. The proposed
technique is competitive with the existing methods in the literature.
Furthermore, if we combine the features obtained by different methods
using penalty functions, the results are equal or better results than stateof-the-art methods.
