1. HLAC-Based Feature Extraction and its Application
- Author
-
Ting Ting Gao, Hang Jun Wang, Feng Qin Liu, and Jia Zhu
- Subjects
business.industry ,Computer science ,Feature extraction ,General Engineering ,Pattern recognition ,Artificial intelligence ,Data mining ,business ,computer.software_genre ,computer ,Image (mathematics) - 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.
- Published
- 2013
- Full Text
- View/download PDF