Image multifeature extraction and fusion method and system

Abstract

The invention provides an image multifeature extraction and fusion method and the system, comprising the following steps of, extracting color features from an image to be matched, matching color with the target image, making sure the color similarity degree, if the color similarity degree exceeds the given color similarity degree threshold, entering the next step; extracting additional feature from the image to be matched, matching the auxiliary features with the target image, determining the auxiliary feature similarity degree, the auxiliary features comprise at least one of texture feature and shape feature; on the base of color similarity degree and auxiliary features similarity degree, making synthesis judgment and acquiring the synthesis similarity degree between the image to be matched and the target image, or matching the target image with the auxiliary features extracted from the matching zone of the image to be matched. The method and the system of the invention apply a cascade connected way to match from roughness to exactness, and can determine exactly the similarity zone of the target image and the image to be matched. The method and the system of the invention achieve a rapid and highly effective matching effect and save manpower and resources.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image multi-feature extraction and fusion method and system. Background technique [0002] With the construction of large-scale security monitoring systems such as "Safe City" and "Smart City", the amount of surveillance video data is increasing. How to quickly and accurately retrieve the required images and videos from the massive image and video data has become an increasingly important task. However, the biggest problem in retrieval is how to obtain a fast and accurate robust feature. [0003] The content-based image and video retrieval technology extracts the features that the user is interested in in the image, including some visual features such as color, texture, shape, etc., and retrieves the image input by the user in a large number of images, realizing the real image visual content features. Retrieval, this method is a major breakthrough in keyword retrieva...

AI Technical Summary

Problems solved by technology

[0009] In order to overcome the problems existing in the existing multi-feature extraction and fusion technology such as slow speed, accumulation of unfavorable factors of each feature, and high false detection rate, the present invention provides a method and system for multi-feature extraction and fusion of images, through cascaded The method makes full use of the advantages of each feature, and gradually matches from coarse to fine, and can gradually and accurately determine the similar areas in the target image and the image to be matched, instead of direct matching between two images, achieving fast, efficient and accurate matching effect, saving manpower and material resources

Images