Image matching and recognition system based on big data matrix stability analysis

Abstract

The invention provides an image matching and recognition system and method based on big data matrix stability analysis and a computer readable storage medium. According to the technical scheme, for aninput original image, identification processing is carried out before query instead of preprocessing, one or a group of sub-images containing the most key elements of the original image are identified from the original image, and then image matching search is carried out based on the sub-images. The method for identifying the most key elements comprises similarity judgment and feature matrix stability judgment. Therefore, the input query retrieval elements can contain the key information of the original input image, the data processing amount can be greatly reduced, and the image retrieval speed is increased on the premise that the main information of the image is not lost. The scheme of the invention can be carried out through an automatic computer image recognition program and a matching program, and manual intervention and prior experience are not needed.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to an image matching and recognition system, method and computer-readable storage medium based on big data matrix stability analysis. Background technique [0002] The development of mobile Internet, smart phones and social networks has brought massive picture information. Instagram uploads about 60 million pictures per day; WhatsApp sends 500 million pictures per day; domestic Wechat circle of friends is also driven by picture sharing . Pictures, which are not restricted by region and language, have gradually replaced cumbersome and subtle words and become the main medium for conveying words and ideas. There are two main reasons why pictures become the main medium for Internet information exchange: First, from the perspective of users’ habit of reading information, compared with text, pictures can provide users with more vivid, easy-to-understand, interesting...

AI Technical Summary

Problems solved by technology

[0010] However, most of the above image recognition or retrieval schemes in the prior art require preprocessing of the image to be queried or retrieved, including automatic image processing, manual labeling, etc., and for each image, it is necessary to extract as much information as possible. Recognition features, for a single image, the calculation amount is barely acceptable; however, if it is for a large-scale mass image retrieval engine, the above process will bring massive computational complexity at the same time, which will reduce the retrieval efficiency

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