Author(s)

Liu Shangzheng, Liu Bin

Corresponding Author

Liu Shangzheng

Abstract

The current target contour recognition algorithm is prone to the problem of insufficient target contour extraction accuracy when the image target edge features are not obvious and the background is complicated. To make up for the shortcomings of the algorithm, this study proposes an edge-based approach. Sharpened variable operator image target contour recognition algorithm, by introducing Laplacian differential operator and Fourier transform, constructs the edge sharpening operator of the joint image, and then constructs the gradient feature based on the gradient feature. The target contour recognition algorithm of the variable operator image is used to measure the relevant parameters of the manufactured object. The experimental results show that compared with the generalized target contour recognition algorithm, the proposed algorithm can guarantee accuracy and stability in more complex uncertain environments.

Keywords

Variable operator image; target contour; edge sharpening; recognition algorithm