Content Based Image Indexing and Retrieval
This work addresses the need for efficient image retrieval systems, but it appears incremental as it combines existing techniques like edge detection and antipole-tree without introducing major innovations.
The paper tackled the problem of content-based image retrieval by developing a system that uses color, texture, and shape features extracted via edge detection, and implemented the antipole-tree algorithm for indexing to enable speedy retrieval.
In this paper, we present the efficient content based image retrieval systems which employ the color, texture and shape information of images to facilitate the retrieval process. For efficient feature extraction, we extract the color, texture and shape feature of images automatically using edge detection which is widely used in signal processing and image compression. For facilitated the speedy retrieval we are implements the antipole-tree algorithm for indexing the images.