CBIR with Shape method

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CBIR with Shape method， very good

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In this document, the author mentions the "CBIR with Shape method" as being "very good." While this is certainly a positive characteristic, it may be helpful to provide more information about what this method entails and why it is considered to be very good.

CBIR (Content-Based Image Retrieval) is a technique used in the field of computer vision that involves retrieving images from a database based on their visual content. The Shape method, as one of the many methods used in CBIR, focuses on analyzing the shape of objects in the images to retrieve similar content.

One reason why the Shape method may be considered to be very good is that it can be effective in retrieving images that contain similar shapes, even if they have different colors or textures. Additionally, research has shown that the Shape method can be efficient and accurate in retrieving images, making it a valuable tool in the field of CBIR.

Overall, while the initial statement of "CBIR with Shape method, very good" is a positive sentiment, delving deeper into the specifics of this method and its benefits can provide a more comprehensive understanding of its value.