Displacement measurement method and system based on image

Abstract

The invention relates to an image-based displacement measurement method and system, and belongs to the field of image processing. The method comprises the following steps: constructing a detection network based on a central anchor point; the basic network of the detection network is Faster-RCNN, and an anchor frame generation strategy based on a center anchor point, an area intersection-to-union ratio calculation mode based on the center anchor point and a regression loss function based on the center anchor point are adopted; the central anchor point refers to the centroid coordinate of the target, the anchor frame based on the central anchor point is a square position frame with the central anchor point as the center, and the marking information of the anchor frame comprises the coordinate of the central anchor point and one half of the side length of the square position frame; training the detection network based on a regression loss function to obtain a marker detection model; and inputting the marker images collected at the two moments into a marker detection model to obtain a displacement measurement result of the marker. The precision of displacement measurement can be improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image-based displacement measurement method and system. Background technique [0002] High-precision displacement measurement can play a role in monitoring and forecasting, and helps to detect quality and safety risks as early as possible, so that remedial measures can be taken in time. It has important application value in many fields such as manufacturing and civil engineering. In recent years, with the improvement of the level of industrialization and the development of computer science, displacement measurement technology based on computer vision has become a major research hotspot in the field of displacement measurement and has been practically applied due to its advantages of non-contact, high precision, and multi-point monitoring. . Among them, the target detection technology based on deep learning can automatically capture the position information of the tar...

AI Technical Summary

Problems solved by technology

[0003] However, at this stage, most target detection algorithms based on deep learning use frame regression to locate targets, which limits the improvement of positioning accuracy, which in turn limits the improvement of displacement measurement accuracy.

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