A method of Automatic Wheel Identify and Classify
Yijun Huang · Microcomputer Information · 2010
This paper describes a method for identifying various wheels which are manufactured in the diversified styles and sizes by the statistical pattern recognition algorithms. Based on four one-dimension invariants,translation invariability,scale invariability and extent invariability,which take the gray character of wheel images. Our method extracts the exterior circle contours of wheels by the Canny edge detection operator,calculates the max wheel diameters by a developed Hough Transform algorithm,and identifies the wheel styles by the Mahalanobis distance method. Experiments prove the validity of this method.