G. Harikumar et Y. Bresler, FEATURE-EXTRACTION TECHNIQUES FOR EXPLORATORY VISUALIZATION OF VECTOR-VALUED IMAGERY, IEEE transactions on image processing, 5(9), 1996, pp. 1324-1334
This paper addresses the exploratory visualization of multispectral im
age data. In such data, each component of the vector pixel corresponds
to a different imaging modality or a different combination of imaging
parameters, and may provide different levels of contrast sensitivity
between different regions of the underlying image. We address the prob
lem of presenting this multidimensional data to human observers by syn
thesizing a display matched to their visual capabilities. Specifically
, we seek to determine a data-adaptive linear projection of the vector
data to one dimension that produces a grayscale image providing maxim
um discrimination between the different regions of the underlying obje
ct. The approach is equivalent to the extraction of the best linear fe
ature of the vector field. Several new feature-extraction criteria tha
t take into account both the spatial and multivariate structures of th
e data are proposed and illustrated by simulations on test images.