||Zingman, I., Saupe, D., Lambers, K.
||Morphological operators for segmentation of high contrast textured regions in remotely sensed imagery
||We develop a transformation based on morphological filters
that measures the contrast of image texture. This transformation
is proportional to texture contrast, but insensitive to its
specific type. Though the transformation provides a high response
in textured areas, it suppresses individual high contrast
features that stand apart from textured areas. It can serve as
an effective texture descriptor for unsupervised or supervised
segmentation of textured regions, provides high accuracy of
localization and does not involve heavy computations. The
method is robust to variations of illumination and works on
different types of images without needing to be tuned. The
only parameter is a scale related parameter. We illustrate the
use of the proposed method on satellite and aerial images.