Generation of Aquifer Heterogeneity Maps Using Two Dimensional Spectral Texture Segmentation Techniques

In this paper we present two new texture segmentation algorithms based on local spectrum analysis with the two dimensional S-Transform. The effectiveness of these algorithms is demonstrated both on simple synthetic images, and complicated, real images of glacial sediment deposits. The S-Transform method is robust and is insensitive to changes in light intensity, and moisture variations. The effectiveness of our methods are measured by correlating measured relative grain sizes in the images with actual grain size measurements taken from the sedimentary outcrops.