Image registration using Adaptive Polar Transform

Image registration is an essential step in many image processing applications that need visual information from multiple images for comparison, integration or analysis. Recently researchers have introduced image registration techniques using the log-polar transform (LPT) for its rotation and scale invariant properties. However, it suffers from nonuniform sampling which makes it not suitable for applications in which the registered images are altered or occluded. Inspired by LPT, this paper presents a new registration algorithm that addresses the problems of the conventional LPT while maintaining the robustness to scale and rotation. We introduce a novel Adaptive Polar Transform (APT) technique that evenly and effectively samples the image in the Cartesian coordinates. Combining APT with an innovative projection transform along with a matching mechanism, the proposed method yields less computational load and more accurate registration than that of the conventional LPT. Translation betw...

• Type: Conference
• Year: 2008
• Where: ICIP
• Authors: Rittavee Matungka, Yuan F. Zheng, Robert L. Ewing
• Keywords: Adaptive Polar Transform, Conventional Lpt, ICIP 2008, Image Comparison Scheme, Image Pairs Differ, Image Processing, Image Registration Techniques