JOURNAL ARTICLE

Image Retrieval Based on Multi-wavelet Transform

Abstract

This paper represents a method of Content Based Image Retrieval (CBIR) which uses multi-wavelet transform to improve the shape and texture feature extraction and decrease the operand. The theoretical analysis is represented first and the numerical verification and experimental validation using real CT image is showed behind. Both the theoretical analysis and the numerical and experimental results agree that the multi-wavelet transform based image retrieval can get good result for image retrieval.

Keywords:
Wavelet transform Artificial intelligence Image retrieval Content-based image retrieval Computer science Pattern recognition (psychology) Image texture Feature extraction Wavelet Top-hat transform Computer vision Image (mathematics) Visual Word Feature (linguistics) Stationary wavelet transform Discrete wavelet transform Image processing

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Cited By
0.00
FWCI (Field Weighted Citation Impact)
13
Refs
0.07
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Computational Techniques and Applications
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Image Fusion Techniques
Physical Sciences →  Engineering →  Media Technology

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