Corner detection and interpretation on planar curves using fuzzy reasoning

The problem of corner detection on planar curves is examined based on human perception of local graphic features. First, a set of fuzzy patterns of co ntour points are established. Then, corner detection is characterized as a fuzzy classification problem that contains three stages: evaluation, classi fication, and location. Compared with existing methods, the proposed approa ch is superior in that it explains the curve, instead of simple labeling, a nd it performs based on human perception. Experimental results on shapes of various complexities are presented. The performance with respect to noise is also addressed.