Listar por autor UPNA "Osa Hernández, Borja de la"

Enhancing the efficiency of the interval-valued fuzzy rule-based classifier with tuning and rule selection

Sanz Delgado, José Antonio

; Asmus, Tiago

; Osa Hernández, Borja de la

; Bustince Sola, Humberto

(Springer, 2020) Contribución a congreso / Biltzarrerako ekarpena

Interval-Valued fuzzy rule-based classifier with TUning and Rule Selection, IVTURS, is a state-of-the-art fuzzy classifier. One of the key point of this method is the usage of interval-valued restricted equivalence functions ...

Gated local adaptive binarization using supervised learning

Fumanal Idocin, Javier

; Uriarte Barragán, Juan; Osa Hernández, Borja de la

; Bardozzo, Francesco; Fernández Fernández, Francisco Javier

; Bustince Sola, Humberto

(CEUR Workshop Proceedings (CEUR-WS.org), 2021) Contribución a congreso / Biltzarrerako ekarpena

Image thresholding is one of the most popular problems in image processing. However, changes inlightning and contrast in an image can cause trouble for the existing algorithms that use a global threshold for all the image. ...

Sugeno integral generalization applied to improve adaptive image binarization

Bardozzo, Francesco; Osa Hernández, Borja de la

; Horanská, Lubomíra; Fumanal Idocin, Javier

; Priscoli, Mattia delli; Troiano, Luigi; Tagliaferri, Roberto; Fernández Fernández, Francisco Javier

; Bustince Sola, Humberto

(Elsevier, 2021) Artículo / Artikulua

Classic adaptive binarization methodologies threshold pixels intensity with respect to adjacent pixels exploiting integral images. In turn, integral images are generally computed optimally by using the summed-area-table ...