Dual Tree Rotated Complex Wavelets Transform With Local Binary Patterns For Texture Image Retrieval

A. Hariprasad Reddy · i-manager s Journal on Digital Signal Processing · 2015

The emergence of multimedia, the availability of a large digital archives, and the rapid growth of World Wide Web (WWW) have recently attracted research efforts in providing tools for effective retrieval of image database. Efficient image indexing and accessing tools are of paramount importance in order to fully utilize the increasing amount of digital data available on the Internet and digital libraries. Recent years have seen a growing interest in developing effective methods for searching large image databases. Image databases are utilized in diverse areas, such as advertising, medicine, entertainment, crime detection, digital libraries etc. However, as the databases grew larger, people realized that the traditional keywords based methods to retrieve a particular image in such a large collection are inefficient. To describe the images with keywords with a satisfying degree of concreteness and detail, we need a very large and sophisticated keyword system containing typically several hundreds of different By

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