Study of Improved Curvelet Transform and its Application in Image Corner
Mengyin Fu · Journal of Chinese Computer Systems · 2008
Corner is a significant local feature of images.Corner detection in images is important for a variety of image processing tasks including tracking,image registration,change detection,determination of camera pose and position and a host of other applications.The aim of curvelet transform is to find a kind of optimal representation of such type of image in the sense of nonlinear approximation.In this paper,proposed on improved curvelet transform through using finite ridgelet transform.And based on the improved curvelet transform,a more robust corner detection approach combined with Mallat local maxima modulus is proposed.Experimental results show the efficiency of this algorithm even in noised scene.