Grayscale image recognition method, device, apparatus and readable storage medium

Abstract

The embodiments of the invention disclose a grayscale image recognition method, a grayscale image recognition device, a grayscale image recognition apparatus and a readable storage medium. The methodincludes the following steps that: the network model of the extracted outline pixel points of a grayscale image to be identified is established based on a complex network method and a watershed algorithm; distance threshold values in a distance threshold value set are applied to the node set of the initial network model, corresponding sub-network models are established; the topological parametersof the sub-network models are calculated, so as to form the target recognition parameters of the grayscale image to be identified; the strength of each node in the initial network model is calculated,nodes of which the strength satisfies a preset strength condition are selected from the nodes according to the strength of the nodes, so as to form a target network interest point set; and a candidate sample image which satisfies a preset parameter condition and has the same network interest point can be obtained from a sample library by means of matching according to the target recognition parameters and the target network interest point set, and the category of the candidate sample image is the category of the grayscale image to be identified. With the grayscale image recognition method, device, apparatus and readable storage medium of the invention adopted, the recognition efficiency of grayscale images can be improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image processing, and in particular, to a grayscale image recognition method, device, equipment, and computer-readable storage medium. Background technique [0002] With the rapid development of computer technology, image processing technology and artificial intelligence technology have also been developed rapidly, resulting in a large amount of text, image, audio and video data information. Among the information perceived by humans, visual information accounts for the vast majority, and images are the main means for vision to obtain information from the outside world. [0003] Image information contains very rich content, which is intuitive, specific, and efficient. It is used in remote sensing image recognition, biomedical image recognition, image transmission in the communication field, dynamic object recognition, handwriting recognition, video conference and machine vision. vari...

AI Technical Summary

Problems solved by technology

[0005] However, the existing image recognition methods based on complex networks have a large amount of modeling and many characteristic parameters, resulting in slow running speed, long time-consuming and low recognition efficiency of the entire image recognition process.

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