1997
@inproceedings{RaH1997,
vgclass = {refpap},
author = {Trygve Randen and John H{\aa}kon Hus{\o}y},
title = {Optimal Filter-Bank Design for Multiple Texture
Discrimination},
booktitle = {IEEE International Conference on Image Processing (ICIP'97)},
address = {Santa Barbara, CA, U.S.A.},
volume = {2},
pages = {215--218},
month = {October~26--29},
year = {1997},
url = {http://dx.doi.org/10.1109/ICIP.1997.638722},
url1 = {http://www.ux.his.no/sigproc/papers/rande97a.ps.gz},
abstract = {An important category of texture feature extraction
approaches are features extracted by filters together with a filter
response energy measure. Most approaches to texture filtering use
filter banks which are selected by some heuristic criteria, and which
are not optimal with respect to the given data. Some approaches to
optimal filter design have been presented. A few approaches to
multi-texture optimal filter bank design have also been presented, but
they are all restricted to a very small set of free parameters. In this
paper a new technique for multiple texture optimal design of a bank of
general finite impulse response (FIR) filters is presented. A closed
form optimal solution is obtained by modeling the feature extraction
for the textures.},
}