RT conferenceObject
T1 New tools for gray level histogram analysis, applications in segmentation
A1 Martín Rodríguez, Fernando
A2 Springer Berlin Heidelberg
K1 3304.05 Sistemas de Reconocimiento de Caracteres
K1 2209.90 Tratamiento Digital. Imágenes
K1 2299 Otras Especialidades Físicas
AB This paper summarizes three algorithms used for the analysis of gray level histograms. Two of them are developed generalizing standard techniques and the other is a completely new method. We will study the advantages of each and give examples of real-world use. Gray level histogram analysis (mainly threshold computation) is a known technique that allows easy and fast segmentation of the regions of interest in an image [1]. Many methods have been proposed for this problem [2], but almost all of them focus only on the problem of bimodal histograms. We will deal with multimodal histograms and, besides, we improve the time efficiency of the most widely used method (Otsu’s [3]).
SN 9783642390937
YR 2013
FD 2013
LK http://hdl.handle.net/11093/1822
UL http://hdl.handle.net/11093/1822
LA eng
DS Investigo
RD 05-dic-2024