Content-Based Image Retrieval (CBIR)

Content-Based Image Retrieval (CBIR) is a technology that finds similar images in a large database by analyzing their visual features rather than relying on text or tags. It examines aspects like colors, shapes, textures, and patterns within an image to create a digital signature. When a user provides a query image, the system compares its features with those in the database to identify and retrieve images that look similar. CBIR is useful in various fields such as medical imaging, digital libraries, and security, making image searching more efficient and accurate based on visual content.