Content-based image retrieval with intensive signature via affine invariant transformation

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 classify 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 affine invariants, the color feature and similarity measurement, the Content-based Image Retrieval System Requirements and Design issues.