Image retrieval method and system

Abstract

The embodiment of the invention discloses an image retrieval method and an image retrieval system and belongs to the technical field of image retrieval. The method comprises the steps of performing redundancy elimination processing on a to-be-retrieved image based on a global contrast saliency detection algorithm; segmenting the to-be-retrieved image after the redundancy elimination processing into a plurality of regions based on a greedy algorithm; performing extraction of image characteristic points on each region based on an image characteristic extraction algorithm to obtain a plurality ofimage characteristic points; generating a bag-of-visterms model of the to-be-retrieved image based on the plurality of image characteristic points; performing matching in a prestored sample bag-of-visterms model library to obtain a sample bag-of-visterms model matched with the bag-of-visterms model of the to-be-retrieved image; and outputting a sample image, as a retrieval result, corresponding to the bag-of-visterms model obtained through matching. The image retrieval method disclosed by the embodiment of the invention has relatively high accuracy and retrieval efficiency and has a certain robustness during processing of various complex changing images.

Description

technical field [0001] The invention relates to the technical field of image retrieval, in particular to an image retrieval method and system. Background technique [0002] Content-based image retrieval is a retrieval technique that calculates the similarity between the image content of the target image and the image content of the sample images pre-stored in the image sample library, and selects the sample image with the closest similarity as the retrieval result. Among them, the image content refers to the features extracted from the image, which are mainly the underlying features of the image, including color features, texture features, and shape features. [0003] In the prior art, content-based image retrieval methods are mainly based on combined processing of color statistical histograms, shape features, and texture features. [0004] In the process of realizing the present invention, the inventor finds that there are at least the following problems: [0005] Existin...

AI Technical Summary

Problems solved by technology

[0005] Existing content-based image retrieval methods have the following disadvantages: insufficient robustness, easy to be disturbed by the outside world, unable to guarantee accuracy in combating human factors, etc., and only suitable for relatively simple applications

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