Computer Science and Engineering, Department of
Date of this Version
2002
Abstract
In this paper, we present two algorithms for shape-based porosity measures. Specifically, we describe two innovative attributes called perimeter porosity and area porosity as feature descriptors. Perimeter porosity refers to how “porous” or “weak” an image object is, while area porosity determines the degree of “branchiness” of an object. We show the applicability of the two measures through a SAR sea ice image classification example.
Comments
University of Nebraska-Lincoln, Computer Science and Engineering
Technical Report # TR-UNL-CSE-2002-0003