JOURNAL ARTICLE

Texture analysis using multiresolution moments

Abstract

A new family of scale, rotation and affine transformation invariant parameters, denoted as multiresolution moments, is introduced. The basic underlying theory of this generalized and extensible family is described. Experimental results obtained by using a specific subset of this family of new parameters towards texture similarity measurement are included to illustrate the applicability and robustness of this family of parameters.

Keywords:
Affine transformation Robustness (evolution) Invariant (physics) Scale invariance Computer science Artificial intelligence Transformation (genetics) Mathematics Pattern recognition (psychology) Affine shape adaptation Multiresolution analysis Algorithm Computer vision Pure mathematics Affine combination Statistics Wavelet Wavelet transform

Metrics

4
Cited By
0.45
FWCI (Field Weighted Citation Impact)
6
Refs
0.58
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
Medical Image Segmentation 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

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