Hubei University

Kansong Chen

Lijun Xu

Yan Zhang

Zuyang Liu

Yanyu Chen

Yao Xiang

Zhihao Xi

The disclosure discloses a surface defect detection method, system, equipment, and terminal, comprising: S, LBP operator: before comparing the benchmark image with the actual shot image, a LBP texture feature extraction algorithm is first used for pre-processing; S, Sift feature-point matching: adding a Sift feature-point matching algorithm to calculate key feature points in the image and compare; S, defect detection: when the local feature points of the shot image are successfully matching with a certain image in the benchmark image library, a detailed comparison will be made and complete defect detection. The disclosure integrates various image processing methods in advance without any setting by users. After running the system with one click, it can automatically perform detection, greatly reducing personnel training costs. The disclosure has simple structure and low cost. The basic structure only needs a computer, camera, and light source, making it easy to use and with highly mobile.

Surface defect detection method, system, equipment, and terminal thereof

The present invention provides a target tracking method, system, device and storage medium, which includes: Determining a target area based on the current frame of a training sample, extracting and fusing histogram of oriented gradient (HOG), color naming (CN), and color space HSV features of the target area to obtain a target template; Determining a target function according to the target template and a spatial regularization weight factor; Introducing the Sherman-Morrison formula into the alternating direction method of multipliers (ADMM) to accelerate the solution of the target function and obtain the response value; Iterating the target tracking model when the response value meets the preset confidence threshold until training is completed to obtain a trained target tracking model, and tracking the target in the video to be observed by using the trained target tracking model.

Target tracking method, system, device and storage medium

Growing community of inventors

Wuhan, China

Kansong Chen