WAVELET-BASED CORNER DETECTION

A non-parametric algorithm for detecting and locating corners of plana r curves is proposed. The algorithm is based on the multiscale wavelet transform of the orientation of the curve which can effectively utili ze both the information of local extrema positions and magnitudes of t he transform results. The corner candidates can then be selected easil y based on this information. According to the angle preserving concept , intrinsic ratios of several corner models have been derived and used to evaluate the corner candidates. The corner angles can also be obta ined during these processes. To make the evaluation process robust a m asking algorithm is proposed. Experiments depict that our detector is more effective than the single scale comer detectors, while is more ef ficient than the multiscale comer detector by Rattarangsi and Chin (Pr oc. Int. Conf. Pattern Recognition, pp. 923-930 (1990)).