Feature Extraction Method Based on Moment Invariants

Wan Bing Li; Hong Wei Quan; Xia Fei Huang

doi:10.4028/www.scientific.net/AMR.936.2263

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 936Feature Extraction Method Based on Moment...

Feature Extraction Method Based on Moment Invariants

Abstract:

To match two or more images originated from the same scenario, a new fast automatic registration algorithm based on sparse feature point extraction is proposed. At the first step, the improved Harris corner detection algorithm is used to get two sets of feature points from the reference image and registration image. Second, a group of sparse feature points are selected from the reference image set as initial control points. Then, the corresponding matching points in the registration image set are searched based on local moment invariant similarity detection. Experimental results demonstrate that this method is fast and efficient.

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Periodical:

Advanced Materials Research (Volume 936)

Pages:

2263-2266

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.936.2263

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Online since:

June 2014

Authors:

Wan Bing Li, Hong Wei Quan*, Xia Fei Huang

Keywords:

Feature Extraction, Harris Corner, Image Registration, Moment Invariant

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