Image retrieval algorithm based on abrupt change of information

Abstract

An image index algorithm based on information abrupt includes converting color data of sample image inputted by user from GRB space to be HSV space and making normalized treatment on it then carrying out initial division on image according to pixel correlation degree and information abrupt, carrying out circulating combination as per similarities of divided pixel blocks, dividing image to be 3x3 subblock and extracting out feature vectors of nine regions separately, selecting interested region from nine regions by user and comparing it with image to be indexed on their proceed similarities to obtain index result of proceed image.

Description

technical field [0001] The invention relates to the field of image retrieval, and designs and implements an image retrieval algorithm based on information mutation. Background technique [0002] With the surge of large-scale image data on the Internet, traditional text search engines are far from meeting the needs of people's information retrieval. Content-based retrieval technology has gradually become a new research hotspot in the fields of multimedia information retrieval, artificial intelligence, and databases. . [0003] Content-based image retrieval methods involve two key technologies: image feature extraction, representation, and the setting of similarity measurement criteria in retrieval algorithms. At present, content-based image feature extraction and representation mostly start from the underlying features of the image such as color, shape, and texture, and use color histograms, co-occurrence matrices, and shape invariant moments to describe and store images, bu...

AI Technical Summary

Problems solved by technology

Although this approach takes into account the spatial position information of the image, its segmentation method is too simple, and it is easy to destroy the semantic correlation within the image.

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