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    Content-based Image Retrieval with Intensive Signature via Affine Invariant Transformation

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    [[abstract]]Web Content-based image retrieval is being implement in many databases especially in digital libraries. In many specialized fields, professionals often wish the content-based image retrieval system could provide more sensitive at shape and color matching to exploit or class& some kinds of species. In our experience, ecosystem synopsis of natural is the obvious illustration. Hence, we offered a series of methods to aim at these problems for solving. Such as defined the signature of the object, with Object Detection /Separation and Normalization, the Shape Representations and Similarity Measurement with a@ine invariants, the color feature and similarity measurement, the Content-based Image Retrieval System Requirements and Design issues
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