CONTOUR-BASED CORRESPONDENCE USING FOURIER DESCRIPTORS

A contour correspondence problem, in which a contour is described in t erms of epipolar lines of which the slope and the intercept functions are expressed as Fourier series, is addressed. The Fourier coefficient s are computed via an iterative algorithm for which a condition is der ived to test convergence. The contour correspondence between two image s is solved based on the authors' proposition for the minimal spectrum distance (MSD). In the MSD scheme, either manual selection of the wei ghting factor can be adopted or a 'fuzzy and' operation-based automati c enhancement procedure can be employed for contour matching. Experime nts are conducted for a set of scattered objects, a plant, a building, several Chinese characters and a group of line segments. The results show that for all of these contours, the iterative algorithm converges very quickly and the correspondence of the contours is accurate.