Noncentral image moments for invariant pattern recognition

Lixin Shen; Yunlong Sheng

doi:10.1117/12.213614

1 November 1995 Noncentral image moments for invariant pattern recognition

Lixin Shen, Yunlong Sheng

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Optical Engineering, Vol. 34, Issue 11, (November 1995). https://doi.org/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.

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Lixin Shen and Yunlong Sheng "Noncentral image moments for invariant pattern recognition," Optical Engineering 34(11), (1 November 1995). https://doi.org/10.1117/12.213614

Published: 1 November 1995

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