The Research On Texture-Based Image Retrieval

Content Based Image Retrieval is a new hot problem appeared in the local and outside portrait database research in recent years. This text is around the distilling of the character of texture and tolerance of the similarity. With the theory of Gabor filter distilling and the linear programming, this text puts forward a new method that using the Gauss filter to filtrate again. It restrains the yawp and Make the different veins in the district characteristic keep the stability. Then according to compositor of the texture again, it makes its own the constant of revolve. It applied the pure form method computes the example portrait finally and inspect the alike degree number of the portrait.This text designs a portrait for according to veins characteristic index system, settles for the example portrait that give the system searches for to specify the catalogue and according to with the alike degree number of the example portrait presses rise preface arrange agree with the portrait that match.