HLAC-Based Feature Extraction and its Application

Abstract

Higher order local auto-correlation (HLAC) can be used to analyze the different types of complicated data by limiting orders and spatial displacements. In this paper, the basic concept of HLAC is introduced firstly. Then, we analyzed the HLAC based methods from three aspects: algorithm robustness, pattern improvement, and the changes of image functions which participate in the autocorrelation operation. Finally, the applications of HLAC-based methods are discussed.