An Efficient and Robust Local Boundary Operator

We present the Curved Iterative Boundary Locator (CIBL), which is a new algorithm for determining the position and local radius of curvature of a boundary which is based upon the IBL algorithm [1]. Both the IBL and CIBL use the grey level image directly, rather than an edge image, and this distinguishes them from conventional robust model fitting techniques. The performance of the CIBL is evaluated for a realistic image domain and the results are compared with data obtained from robust Least Squares ellipse fitting. We conclude that the CIBL and its variants provide a powerful technique for robust analysis, particularly in the area of industrial inspection where dimension measurement to high precision is often required.