Image recognition by affine Tchebichef moment invariants

Authors:
Qian Liu;Hongqing Zhu;Qian Li
Affiliations:
Department of Electronics and Communications Engineering, East China University of Science and Technology, Shanghai, China;Department of Electronics and Communications Engineering, East China University of Science and Technology, Shanghai, China;Department of Electronics and Communications Engineering, East China University of Science and Technology, Shanghai, China
Venue:
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
Year:
2011

Citing 11
Cited 0

The revised Fundamental Theorem of Moment Invariants

IEEE Transactions on Pattern Analysis and Machine Intelligence
The Method of Normalization to Determine Invariants

IEEE Transactions on Pattern Analysis and Machine Intelligence
On the choice of consistent canonical form during moment normalization

Pattern Recognition Letters
Translation and scale invariants of Tchebichef moments

Pattern Recognition
Novel moment invariants for improved classification performance in computer vision applications

Pattern Recognition
A zernike moment phase-based descriptor for local image representation and matching

IEEE Transactions on Image Processing
Image analysis by Tchebichef moments

IEEE Transactions on Image Processing
Some computational aspects of discrete orthonormal moments

IEEE Transactions on Image Processing
Orthogonal Rotation-Invariant Moments for Digital Image Processing

IEEE Transactions on Image Processing
Combined Invariants to Similarity Transformation and to Blur Using Orthogonal Zernike Moments

IEEE Transactions on Image Processing
High-order moment computation of gray-level images

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Tchebichef moments are successfully used in the field of image analysis because of their polynomial properties of discrete and orthogonal. In this paper, two new affine invariant sets are introduced for object recognition using discrete orthogonal Tchebichef moments. The current study constructs affine Tchebichef invariants by normalization method. Firstly, image is normalized to a standard form using Tchebichef moments as normalization constraints. Then, the affine invariants can be obtained at the standard form. The experimental results are presented to illustrate the performance of the invariants for affine deformed images.