Using steerable filters for illumination-invariant recognition in multispectral images
- 22 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3, 138-141
- https://doi.org/10.1109/icip.1997.632025
Abstract
We present an energy matrix representation for multiband images which captures spatial and spectral properties. Using a physical model for spectral reflectance, we derive a pseudoinverse method for the comparison of energy matrices which is invariant to the spectral properties of the scene illumination. At the same time, this method determines the illumination change matrix allowing direct comparison of images obtained under different illumination conditions. We demonstrate the performance of the method for both illumination-invariant recognition and illumination correction on a large set of multiband images. The energy matrices are generated using a small set of oriented steerable filters. We also demonstrate that a related set of rotationally symmetric filters can be used for recognition invariant to both illumination and rotation and that subsequent processing can be used to recover the rotation angle of a recognized object.Keywords
This publication has 5 references indexed in Scilit:
- Texture features for browsing and retrieval of image dataPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Illumination-invariant recognition of texture in color imagesJournal of the Optical Society of America A, 1995
- The design and use of steerable filtersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1991
- Unsupervised texture segmentation using Gabor filtersPattern Recognition, 1991
- Multichannel texture analysis using localized spatial filtersPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1990