Ten lectures on wavelets
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Representation Using 2D Gabor Wavelets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wavelets for computer graphics: theory and applications
Wavelets for computer graphics: theory and applications
Quantitative evaluation of color image segmentation results
Pattern Recognition Letters
Wavelets and imaging informatics: a review of the literature
Computers and Biomedical Research
Modern Information Retrieval
Image classification for content-based indexing
IEEE Transactions on Image Processing
A fast and effective method to find correlations among attributes in databases
Data Mining and Knowledge Discovery
Content based mammography images retrieval using Ripley's K function
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
Evaluation of shape similarity measurement methods for spine X-ray images
Journal of Visual Communication and Image Representation
Medical image retrieval based on complexity analysis
Machine Vision and Applications
Design of a medical image database with content-based retrieval capabilities
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
Local structure-based region-of-interest retrieval in brain MR images
IEEE Transactions on Information Technology in Biomedicine
Directional Binary Wavelet Patterns for Biomedical Image Indexing and Retrieval
Journal of Medical Systems
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This paper presents the MultiWave Med system, which is a new software allowing to index and retrieve medical images through the comparison of their texture features. The features are extracted by Wavelet transforms, and are organized in feature vectors. The system extracts the image texture features, computes the distance between the query image to all images in the database, through the comparison of their features, and retrieve de n most similar images regarding this kind of feature. The proposed system has implemented both Daubechies and Gabor wavelets. The feature vectors extracted from the images are used to organize the images through access methods, which are the basis to perform the query-by-content operations over the images. The focus of this paper is to show the utility of the wavelet transforms on medical image characterization and their suitability for image indexing and retrieval.