JOURNAL ARTICLE

Color Image Retrieval Using M-Band Wavelet Transform Based Color-Texture Feature

Abstract

Feature Extraction algorithm is a very important component of any retrieval scheme. We propose M-band Wavelet Transform based feature extraction algorithm in this paper. The MxM sub-bands are used as primitive features, over which energies computed in a neighborhood are taken as the features for each pixel of the image. These features are clustered using FCM to obtain image signature for similarity matching using the Earth Mover's Distance. The results obtained were compared with MPEG-7 content descriptor based system and found to be superior.

Keywords:
Artificial intelligence Pattern recognition (psychology) Feature extraction Wavelet transform Computer science Computer vision Similarity (geometry) Pixel Feature (linguistics) Image texture Wavelet Image retrieval Matching (statistics) Content-based image retrieval Image (mathematics) Mathematics Image segmentation

Metrics

8
Cited By
1.24
FWCI (Field Weighted Citation Impact)
15
Refs
0.85
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
Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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