15Study on Content-Based Image Retrieval
Thanga Subha Devi M.1,2*, R. Suji Pramila3 and Tibbie Pon Symon4
1Computer Science and Engineering, Noorul Islam Centre for Higher Education, Kanyakumari, India
2Computer Science and Engineering New Horizon College of Engineering, Bangalore, India
3Computer Science and Engineering Mar Baselios Institute of Technology and Science Kerala, India
4Electrical and Electronics Engineering Noorul Islam Centre for Higher Education Kanyakumari, India
Abstract
Content-based image retrieval (CBIR) enables users to retrieve photos based on their visual content rather than textual keywords or tags. Based on visual elements including color, texture, shape, and composition, it entails looking for digital photos in a sizable database. By various approaches, the visual characteristics of query image is compared with the photos in the database, including feature extraction, indexing, and similarity measurement. Large image collections are now possible through advancements in data storage and image capturing technology. In this case, it is essential to create the right communication system and manage those collections effectively. The utmost popular methods make use of that are known as CBIR technologies. These types of systems essentially look for photos that match a user-defined pattern or specification (such as a shape sketch or an example of an image). Their objective is to facilitate image retrieval based on content qualities, which are typically stored ...
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