HLAC-Based Feature Extraction and its Application

Ting Ting Gao; Feng Qin Liu; Jia Zhu; Hang Jun Wang

doi:10.4028/www.scientific.net/AMR.804.200

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 804HLAC-Based Feature Extraction and its Application

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.

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Periodical:

Advanced Materials Research (Volume 804)

Pages:

200-204

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.804.200

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Online since:

September 2013

Authors:

Ting Ting Gao, Feng Qin Liu, Jia Zhu, Hang Jun Wang

Keywords:

Feature Extraction, HLAC, Pattern, Texture Analysis

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