Method and system for measuring workpiece length

Abstract

The invention relates to a workpiece length measurement method and system, belonging to the field of workpiece size measurement. The method includes: constructing an encoding path; constructing a feature splicing path including an ECA module and two downsampling modules; the activation layer of the ECA module uses a sigmoid activation function to activate the input feature vector of the activation layer, and the element-level multiplication layer is used to convert the first The feature map output by the encoding network is multiplied by the feature vector output by the activation layer to obtain a cross-channel interactive feature map; the decoding path is constructed, the constructed image segmentation network is trained, and the image of the workpiece to be tested is input into the image segmentation network model. The skeleton of the workpiece area in the output segmentation feature map is thinned, and the length of the workpiece to be measured is determined according to the pixel parameters and the camera calibration parameters of the workpiece image to be measured. The invention can save labor and time cost, improve the efficiency of the whole process of workpiece length measurement, and improve the accuracy of the measurement result at the same time.

Description

technical field [0001] The invention relates to the field of workpiece size measurement, in particular to a method and system for measuring the length of a workpiece. Background technique [0002] Realizing accurate and efficient workpiece size measurement is of great significance for ensuring product quality, improving factory production efficiency and operating profit. In recent years, with the continuous improvement of the level of industrialization, machine vision measurement technology has become one of the mainstream methods for workpiece size measurement due to its advantages of high precision, fast speed and non-contact. However, the existing machine vision measurement technology mainly relies on traditional image processing algorithms. In order to obtain specific workpiece information in the image, a large number of manual feature design is required. Not only the labor and time costs are too high, but also the robustness is poor, resulting in The cost of workpiece ...

AI Technical Summary

Problems solved by technology

However, the existing machine vision measurement technology mainly relies on traditional image processing algorithms. In order to obtain specific workpiece information in the image, a large number of manual feature design is required. Not only the labor and time costs are too high, but also the robustness is poor, resulting in The cost of workpiece size measurement is high and the effect is poor

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