Two Algorithms for Shaped-Based Porosity Measures

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 d...

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Bibliographic Details
Main Author: Leen-kiat Soh
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.360.6546
Description
Summary: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. I