Target detection and identification method based on structural similarity measurement

A technology of structural similarity and target detection, which is applied in the fields of digital image processing and machine vision, and can solve problems such as high hardware requirements and impossibility of real-time application

CN112819094APending Publication Date: 2021-05-18BEIJING MXTRONICS CORP +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2021-05-18

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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.
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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...

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Embodiment Construction

[0037] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0038] A target detection and recognition method based on structural similarity measurement in the present invention pre-determines a template image to form a data set, reads the image to be detected, and through grayscale transformation, balances the brightness of the image to be detected to obtain the preprocessed image to be detected, Solve the optimal segmentation threshold of the image to be detected after preprocessing, and use the optimal segmentation threshold as the global threshold, perform binarization on the image to be detected after preprocessing in step 2, and obtain the binary value of the image to be detected after preprocessing Image; the binary image in step 3 is opened in the morphology to eliminate the noise in the binary image, and fill the holes in the binary image to obtain the expansion result image, and mark t...