Wavelet optimization for content-based image retrieval in medical databases

Wavelet optimization for content-based image retrieval in medical databases

We propose in this article a content-based image retrieval (CBIR) method for diagnosis aid in medical fields. In the proposed system, images are indexed in a generic fashion, without extracting domain-specific features: a signature is built for each image from its wavelet transform. These image signatures characterize the distribution of wavelet coefficients in each subband of the decomposition...

CONTENT BASED IMAGE RETRIEVAL SYSTEM FOR MEDICAL DATABASES PhD Summary

Content based medical image retrieval based on pyramid structure wavelet

As technology continues to increase the various formats in which medical images are created, transmitted, and analyzed, it has become more necessary to restrict the different ways in which this data is stored and formatted between the conflicting modalities. There is a significant increase in the use of medical images in clinical medicine, disease research, and education. While the literature l...

Content-Based Medical Image Retrieval in Object Oriented Databases

This work describes the concepts used in an Object Manager aimed at storing medical images as one more data type associated to objects. Images can be retrieved through queries based on the graphic contents of the stored images. The usual approach uses icons and textual attributes stored with the images to specify the queries. This work uses a novel modeling technique to define the “image data t...

Content Based Image Retrieval in Multimedia Databases

In today's multimedia age, images are becoming more and more common in various fields. Database is an area that has found extensive use of images in past few years. Although much advancement has been made in the field of multimedia databases yet there is an urgent need of an integrated framework for creating, managing and retrieving multimedia data. With the increased usage of image data, the n...