Model-based algorithms for multispectral image processing and analysis

We examine the use of linear spectral reflectance models for calibrating a color scanner to generate device independent CIEXYZ values from scanner vectors. Standard approaches to color scanner calibration use parameterized functions to approximate the calibration mapping over a set of training colors. These approaches can perform poorly if the parameterized functions do not accurately model the structure of the desired calibration mapping. Several studies have shown that linear reflectance models accurately characterize a wide range of materials. By viewing color scanner calibration as reflectance estimation, we can incorporate linear reflectance models into the calibration process. We show that in most cases linear models do not constrain the calibration problem sufficiently to allow exact recovery of X, Y, Z from a scanner vector obtained using three filters. By examining a series of methods that exploit information about reflectance functions, however, we show that reflectance information can be used to improve the accuracy of calibration over standard methods applied to the same set of inputs.; We present texture models and corresponding recognition methods for hyperspectral images. The opponent color features are motivated by opponent processes in human vision. The unichrome features are computed from the spectral bands in dependently while the opponent features combine information across different bands at different scales. We use Gabor filters to extract texture features at different scales and orientations from hyperspectral images. The texture features are derived from both individual bands and combinations of bands.; We develop new algorithms based on multiband correlation models for the recognition of hyperspectral textures in three dimensions. The dependence of the observed texture of a material sample on viewing and illumination angles can have varying degrees of complexity. The bidirectional texture function (BTF) describes the appearance of a textured surface as a function of the illumination and viewing directions. (Abstract shortened by UMI.)...