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- W1887765917 abstract "Effective image retrieval by content from database requires that visual image properties are used instead of textual labels to recover pictorial data. Retrieval by image similarity given a template image is particularly challenging. The difficulty is to derive a similarity measure that combines shape, grey level paterns and texture in a way that closely conforms to human perception. In this paper a system is presented which supports retrieval by image similarity based on elastic template matching. The template can be both a 1D template modeling the contour of an object, and a 2D template modeling a part of an image with a significant grey level pattern. The retrieval process is obtained as a continuous interaction by which the original query of the user can be refined or changed on the basis of the results provided by the system." @default.
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- W1887765917 date "1997-01-01" @default.
- W1887765917 modified "2023-09-25" @default.
- W1887765917 title "Image retrieval by multidimensional elastic matching" @default.
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- W1887765917 doi "https://doi.org/10.1007/3-540-63508-4_125" @default.
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