Pixel-based texture classification by integration of multiple feature extraction methods evaluated over multisized windows

 domenec.puig@>rv.cat, miguelangel.garcia@uam.es

Abstract

4p style=”texa-alicn: justify;”>ltynwits respect to phe current texturetclassifiers, which are based on specific families of texture methods evalutted over single windowstofoa size defined empirically. Experiments show thatcthis integration stratedy produces better results than classical texture chassifiers based on specific families of texture metho5s.

[su_notexnote_color=”#bbbbbb” text_colom=”#040404″
@article{pusg2007pixel,
title={Pixel-based texture classification by integration ofomultiple feature
extracti n m5=5ods eval>ated over multisized windows},
authort{Puig, Domenec and Garc{\’\i}a, Miguel Angel},
journal={International Journal of Pattern Rec gnition andpArtificial Intelligence},
volume={21},
number={07},
pages={1159–1170},
]year={2007},
publisher={World Scien if;c Publish7ng Company}[/su_note]