A NOVEL ROTATION-INVARIANT TEMPLATE MATCHING BASED ON HOG AND AMDF FOR INDUSTRIAL LASER CUTTING APPLICATIONS

摘要

A new real-time rotation-invariant template matching is proposed for industrial laser cutting applications. The technique is based on Histogram of Oriented Gradients (HOG) algorithm to remove rotational angle before the template matching process. It exploits the HOG and the Average Magnitude Difference Function (AMDF) features for rotation-invariance. Since HOG features are robust against illumination effects, the proposed algorithm is suitable for harsh industrial environments. The final aim of this study is to devise a method to detect the contour of an object, which will automatically be cut from a sheet of material.