图像处理技术在工业产品测量的应用

For the drawbacks of the traditional manual measurement for industrial products, this paper puts forward an approach of measurement basing on computer vision technology. Through the camera from different angles as required timing on the production line to take photographs of the products. Then do some pre-treatment such as de-nosing, smoothing and so on. And then track the outline of the image based on the chain codes table and line segment table to get border and region information of all the closed regions. Next compute the geometrical shape feature parameters of the image, such as area, perimeter, shape factor, the center of gravity and circum-rectangular. Experiments show that this method is simple, accurate and fast. It is suitable for real-time detection and is the basic work to further research on the fully-automated detection of the products.