1 November 1995 Noncentral image moments for invariant pattern recognition
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Optical Engineering, 34(11), (1995). doi:10.1117/12.213614
Abstract
When invariant moments are used as numerical features for image description and recognition, the noncentral moments generated by correlation can be used for scale, rotation, and shift-invariant pattern recognition. A search in the feature-vector space for matching the input and reference feature vectors can be fast. The new method can apply to multiple-image input without segmentation of the images, and the noncentral moments are more robust than the central moments to noise.
Lixin Shen, Yunlong Sheng, "Noncentral image moments for invariant pattern recognition," Optical Engineering 34(11), (1 November 1995). http://dx.doi.org/10.1117/12.213614
JOURNAL ARTICLE
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KEYWORDS
Pattern recognition

Image segmentation

Image filtering

Optical filters

Image processing

Digital imaging

Image restoration

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