Content Based Image Indexing and Retrieval
Avinash N Bhute, B. B. Meshram

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.
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Taxonomy
TopicsImage Retrieval and Classification Techniques · Advanced Image and Video Retrieval Techniques · Video Analysis and Summarization
