Image Moment Based Registration Scheme Utilizing Support Vector Machine

Jianzhen Wu
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Abstract

A novel image registration scheme is proposed in this paper. Six low order image moments are used as image global pattern features and are feed into support vector machine to estimate translation, rotation and scaling parameters. Simulation results show that the proposed registration scheme is accurate and robust to noise.
基于支持向量机的图像矩配准方案
提出了一种新的图像配准方案。将6个低阶图像矩作为图像全局模式特征,输入支持向量机估计平移、旋转和缩放参数。仿真结果表明,该配准方案具有较好的精度和抗噪性。
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