Content Based Image Indexing and Retrieval

TL;DR

This paper introduces an efficient content-based image retrieval system utilizing color, texture, and shape features extracted via edge detection, combined with antipole-tree indexing for fast retrieval.

Contribution

It presents a novel combination of feature extraction using edge detection and antipole-tree indexing to improve image retrieval efficiency.

Findings

Effective feature extraction using edge detection

Fast retrieval through antipole-tree indexing

Improved accuracy in image retrieval

Abstract

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.