Target detection and identification method based on structural similarity measurement

Abstract

The invention discloses a target detection and identification method based on structural similarity measurement, and the method comprises the steps: predefining a template image to form a data set, reading a to-be-detected image, carrying out gray transformation, balancing the brightness of the to-be-detected image, obtaining a preprocessed to-be-detected image, solving an optimal segmentation threshold value of the preprocessed to-be-detected image, performing binarization processing on the to-be-detected image preprocessed in the step 2 by taking the optimal segmentation threshold as a global threshold to obtain a binary image of the preprocessed to-be-detected image; 3, performing morphological opening operation on the binary image in the step 3 to eliminate noisy points in the binary image, filling holes in the binary image to obtain an expansion result image, and marking candidate connected regions in the expansion result image as candidate targets and extracting all candidate targets; and matching the target template image in the step 1 with the candidate targets in the step 5 to obtain the structural similarity measurement of the candidate target, and taking the candidate target corresponding to the maximum structural similarity measurement as a final target.

Description

technical field [0001] The invention relates to a target detection and recognition method based on structural similarity measurement, belonging to the technical fields of digital image processing and machine vision. Background technique [0002] Target detection and recognition is an important research direction in the field of computer vision and artificial intelligence, and is widely used in industries, medical care, security, automatic driving and other fields. In industrial automated production, target detection technology can quickly complete product detection and identification, improving product quality and production efficiency; in medical diagnosis and surgery, target detection technology can automatically analyze and diagnose medical images, and cooperate with surgical navigation Needle assists medical staff to perform surgical operations, increases surgical positioning accuracy, and reduces surgical risks; in security intelligent monitoring, target detection techn...

AI Technical Summary

Problems solved by technology

[0004] The technical problem solved by the present invention is: to overcome the deficiencies of the above-mentioned prior art, to provide a target detection and recognition method based on structural similarity measurement, and to solve the problem that the existing target detection and recognition method has high hardware requirements Real-time application is impossible under the condition of limited resources. The present invention can quickly locate the center position and the minimum circumscribed rectangular frame of the light-colored landing logo image in common UAV landing backgrounds such as cement ground and grassland, and adapt to the existence of illumination changes and target scale scaling. , interference targets and other complex environments

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