A method and system for fast matching of similar images

Abstract

The present invention relates to the field of computer image retrieval, and proposes a method and system for fast matching of similar images. The method includes a background preprocessing step and a foreground matching step. The background preprocessing step specifically includes: S101, extracting an image database Visual features of each image to be retrieved in the image; S102, mapping M text feature annotations for each image to be retrieved in the image database; S103, establishing a joint sorting index table with text annotations as the index unit F i , forming an image ranking; the step of matching at the foreground specifically includes: S201, receiving and extracting a query image O visual features; S202, determine the text feature annotation of the query image; S203, use the image in the joint sorting index table corresponding to the text feature of the query image as the query image O The candidate matching image library; output the matching result according to the number of matches. The invention greatly reduces the search scope of image matching and improves the speed of image retrieval.

Description

technical field [0001] The invention relates to the field of computer image retrieval, in particular to a fast matching method and system for similar images. Background technique [0002] The image matching system can match the image similar to the queried image content information in the image database according to the similarity degree of the information contained in the image content, and realize the output of the image matching result. The image matching system can be used to find homologous pictures or target objects. With the rapid development of the Internet and image processing technology, the practical application value of the image matching system is increasing day by day. [0003] Image matching features mainly include text features and visual features. Among them, text features need to be manually annotated in advance. Using text features to achieve image matching can reduce the difficulty of judging image similarity. However, for image matching systems with a l...

AI Technical Summary

Problems solved by technology

Among them, text features need to be manually marked in advance. Using text features to achieve image matching can reduce the difficulty of judging image similarity. However, for image matching systems with a large amount of data, the preprocessing process of manual marking is a difficult task.

Visual features are basic features with intuitive meanings such as color, texture, and shape of an image. They correspond to the information obtained by human visual perception of lightness, color, and shape. Visual features can intuitively express the content information of an image. , but compared with text features, the similarity calculation process of visual features takes longer

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