A method and system for image target matching detection based on multi-particle swarm optimization

Abstract

The invention provides a method for image target matching detection based on multi-particle swarm optimization algorithm, which includes inputting the image to be tested and the target image, and calculating the correlation between the input image to be tested and the target image in a preset manner. Connected common feature space, and further construct the energy function corresponding to the common feature space; based on the multi-particle swarm optimization algorithm, obtain each local extremum point on the energy function corresponding to the common feature space; where the number of local extremum points is determined by The number of matching detections between the test image and the target image is determined; according to each local extremum point obtained, the area corresponding to each local extremum point is determined in the image to be tested through the energy function corresponding to the common feature space, And output each determined area as the final result of matching detection between the image to be tested and the target image. The implementation of the present invention can reduce the amount of calculation, increase the calculation speed, and achieve the purpose of high reliability and high precision of image matching.

Description

technical field [0001] The invention relates to the technical field of image target matching detection, in particular to a method and system for image target matching detection based on a multi-particle swarm optimization algorithm. Background technique [0002] As we all know, images contain rich information, which can provide target information such as shape, size, grayscale and distribution, and these information are of great significance for detecting, identifying and tracking targets in complex environments. [0003] Image target matching refers to identifying points with the same name between two or more images through a certain matching algorithm. The center point of the window corresponding to the largest coefficient is taken as the point with the same name, and its essence is the optimal search problem using matching criteria under the condition of primitive similarity. [0004] Image object matching can be mainly divided into grayscale-based matching and feature-b...

AI Technical Summary

Problems solved by technology

In order to pursue the high accuracy of image target matching, feature matching technology is often used, but it has the disadvantages of large amount of calculation and slow calculation speed, and in the case of uneven lighting conditions, there are problems such as low reliability and low precision of image matching.

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