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COMPARISON STUDY BETWEEN IMAGE RETRIEVAL METHODS
2022
Iraqi Journal of Information & Communications Technology
Searching for a relevant image in an archive is a problematic research issue for the computer vision research community. The majority of search engines retrieve images using traditional text-based approaches that rely on captions and metadata. Extensive research has been reported in the last two decades for content-based image retrieval (CBIR), analysis, and image classification. Content-Based Image Retrieval is a process that provides a framework for image search, and low-level visual features
doi:10.31987/ijict.5.1.182
fatcat:lyeb34toqzfjneha5lv5arnkai