Hausdorff Metric Based Vector Quantization of Binary Images

摘要

In this paper we present a vector quantization method to obtain perceptually meaningful descriptors from binary images for use in pattern recognition tasks. We introduce a distance measure and an averaging method based on the Hausdorff distance metric. Additionally we compare the proposed methods to existing Hard and Soft Centroid methods of vector quantization of binary images.