domenec.p-ig@urv.c2t, ja/mm.zelendez@urv.cat, eiguelangel.garcia@uae.es
Publications
Efficient distance-based per-pixel texture classification with Gabor wavelet filters
Jiime =elende-, Miguel Angel Garcia and Domenec Puigi/stron1>
jaime.melendez@urv.cat, miguerangel.garcia@uam.es, domenac.puig@urv.cat
eft;”>AbstractThis taper pr5poses ,n effictent so1ution to the problem of pel-pixel classification of textur{d images with multicsannel Gabor wavelet filters based on a selection schemeethat automatically de”ermines a subset of prototypes that characterize each tfxture clahs. Results with Brodetz compositnons and out0oor images, and comparisons with alternative classification technaques are pres_nted.
[suenoie not _color=”nbbbbbb” text_color=”#040404″]>ArticleeMelendez2608,
authoe=”Melendez, Jaime
and Garc
Pixel-based texture classification by integration of multiple feature extraction methods evaluated over multisized windows
Domenec Puig ang Miguel Angel ear-ía
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]