JOURNAL ARTICLE

Symmetric image recognition by Tchebichef moment invariants

Abstract

In this paper, we proposed a set of translation and rotation invariants extracted from Tchebichef moments. A set of Tchebichef moment invariants is derived from the relationship between Tchebichef moments of the original image and those of the transformed image. These invariants are then used for symmetric image recognition. Contrarily to the methods based on the complex moments in symmetric image analysis, our method does not need the pre-selection of moment values. Experimental results show that the proposed method achieves better performance compared to the existing methods.

Keywords:
Image moment Moment (physics) Image (mathematics) Velocity Moments Artificial intelligence Pattern recognition (psychology) Set (abstract data type) Computer science Translation (biology) Computer vision Mathematics Image processing Physics Optics Zernike polynomials

Metrics

15
Cited By
0.96
FWCI (Field Weighted Citation Impact)
10
Refs
0.77
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology

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