Image recognition method, device, apparatus, and computer-readable storage medium

Abstract

The embodiment of the invention discloses an image recognition method, an apparatus, a device and a computer-readable storage medium. The method comprises the following steps of: describing a gray-scale image based on a structure balance network of an image to be recognized, and obtaining an initial structure balance matrix of the image to be recognized; the initial structural balance matrix and the pre-constructed variable structural balance matrix being used as hadamard product to change the structural balance matrix, and the target structural balance matrix being obtained. The characteristic parameters of the target structure balance matrix are extracted to be used for target recognition of the image to be recognized. The characteristic parameters are the average value of the positive connection strength and the average value of the negative connection strength of the target structure balance matrix. The technical proposal of the application does not consider the topological structure of the network, simplifies the complexity of the network model, reduces the amount of computation, enhances the noise tolerance of the identification method, and thereby improves the speed and theidentification accuracy of the image identification; The gray value is used as the connection strength in the structural balance network, which improves the discrimination of the recognition target and the recognition rate.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of machine vision, and in particular, relate to an image recognition method, device, equipment, and computer-readable storage medium. Background technique [0002] With the rapid development of artificial intelligence technology, machine vision technology, as an important branch of artificial intelligence development, has also been developed accordingly. Machine vision technology integrates technologies in optics, machinery, electronics, computer software and hardware, etc. , pattern recognition, artificial intelligence, signal processing, optomechanical integration and other fields. Image recognition technology (recognizing target objects in images) is an important part of machine vision technology. The accuracy and speed of target recognition are important indicators for measuring image recognition. Improving the accuracy and speed of target recognition is the key to improving image r...

AI Technical Summary

Problems solved by technology

[0005] However, when the contour shape of the image changes with the influence of light intensity or occlusion and other factors, the relevance and order of the points in the image contour point set will be destroyed. If the image contour is regarded as a series of sequential continuous points set,

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