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The ‘Content Based Image Retrieval’ (CBIR) is a well-known image retrieval system. It has become more popular in recent decades due to its large image datasets. This paper provides a detailed interactive CBIR system for comparing various similarity metrics. Similarity metrics are usually distance metrics that can measure the closeness of the image features. Image retrieval is implemented as user interactive, where users can select various similarity measures for comparison. This interactive or graphical system allows six distance metrics on retinal image retrieval. The reported results confirm that the implemented system performs well.
Shaheen et al. (Wed,) studied this question.
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