Corner detection of contour images using continuous wavelet transform

This paper presents a multiscale corner detection method based on continuous wavelet transform (CWT) of contour images. The corner points are detected from the local wavelet transform modulus maxima (WTMM) of the contour orientation. To reduce the side effects of the discretization and smoothing that are introduced by the preprocessing steps, we adopt a simple but efficient post processing algorithm: nonmaximum suppression. The proposed method detects sharp corners as well as subtle corners. Simulation results illustrate the better performance of the proposed corner detector compared to the other methods.