Image recognition by combined invariants of legendre moment

The moment invariants are usually efficient tools in image processing, pattern recognition and computer vision, especially when images to be processed are degraded by combined blur and affine transformation. However, most of the existing combined moment invariants are based on nonorthogonal moments,...

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Bibliographic Details
Published inThe 2010 IEEE International Conference on Information and Automation pp. 1793 - 1798
Main Authors Xiubin Dai, Hui Zhang, Huazhong Shu, Limin Luo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
Automation
Cameras
Combined invariants
Computer science
Computer vision
Degradation
Focusing
Image processing
Image recognition
Layout
Legendre moment
Pattern recognition
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Summary:The moment invariants are usually efficient tools in image processing, pattern recognition and computer vision, especially when images to be processed are degraded by combined blur and affine transformation. However, most of the existing combined moment invariants are based on nonorthogonal moments, which can result in the information redundancy and become sensitive to noise. Due to the better performance of orthogonal moment, this paper presents a new set of orthogonal Legendre moments affine invariants and then constructs Legendre combined invariants with respect to blur and affine transformation by combining blur invariants and affine invariants. The experimental results are provided in order to validate the method and to compare its performance with other combined invariants.
ISBN:1424457017
9781424457014
DOI:10.1109/ICINFA.2010.5512207