RT info:eu-repo/semantics/article
T1 Texture classification using discrete Tchebichef moments
A1 Marcos Martín, José Víctor
A1 Cristóbal, Gabriel
AB In this paper, an innovative method to characterize texture images based on discreteTchebichef moments (DTM) is presented. A global signature pattern is derived from themoment matrix by taking into account both the magnitude of the moments and their order.The performance of our method for several texture classification problems was comparedwith that achieved through other standard approaches. These include Haralick’s gray levelco-occurrence matrices (GLCM), Gabor filters (GF) and local binary patterns (LBP). Anextensive texture classification study was carried out by selecting images with differentcontents from Brodatz, Outex and VisTex databases. The results show that the proposedmethod is able to capture the essential information about texture showing comparable oreven higher performance than conventional procedures. Thus, it can be considered as aneffective and competitive technique for texture characterization.
PB Optica
SN 1084-7529
YR 2013
FD 2013
LK https://uvadoc.uva.es/handle/10324/80469
UL https://uvadoc.uva.es/handle/10324/80469
LA spa
NO Marcos, J.V. and Cristóbal, G., 2013. Texture classification using discrete Tchebichef moments. Journal of the Optical Society of America A, 30(8), pp.1580-1591.
NO Producción Científica
DS UVaDOC
RD 13-dic-2025