JOURNAL ARTICLE

Image retrieval based on multiple features using wavelet

Abstract

An algorithm of image retrieval using both color feature and texture feature is proposed in this paper. Circular region energy in low frequency band of wavelet transform of an image is used as color feature of the image and the synthesize energy in high frequency bands of multi-scale wavelet transforms is used as texture feature. A method using the linear combination of several single features is applied for image retrieval based multiple features, in which the weight of every feature is determined self-adaptively, moreover, relevance feedback technique is used to adjust the weights in order that the retrieval results accord with the user's retrieval goal gradually.

Keywords:
Artificial intelligence Pattern recognition (psychology) Feature (linguistics) Wavelet transform Image texture Computer science Image retrieval Computer vision Wavelet Feature detection (computer vision) Visual Word Energy (signal processing) Stationary wavelet transform Content-based image retrieval Image (mathematics) Discrete wavelet transform Mathematics Image processing

Metrics

25
Cited By
0.77
FWCI (Field Weighted Citation Impact)
3
Refs
0.74
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 Data Compression 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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