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Title : Flask-Powered Content-Based Image Retrieval

Author : Mrs.muddana Sarada, SHAIK ANISA, SHAIK RESHMA, SOMIISETTI LEELAVATHI

Abstract :

Content-Based Image Retrieval (CBIR) is an effective approach for searching and retrieving images based on their visual content rather than textual metadata. This project presents a Flask-powered CBIR system that allows users to upload an image and retrieve visually similar images from a database. The system extracts features such as color, texture, and shape using image processing and deep learning techniques. Flask acts as a lightweight backend framework to handle user requests and model inference. The similarity between images is computed using distance metrics. The proposed system improves retrieval accuracy and usability through a webbased interface. This solution is suitable for applications in medical imaging, surveillance, and digital libraries.

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International Journal of Engineering Research & Informatics (IJERI)
E-ISSN: 2348-6481

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