A Novel Method for Rotation-Invariant Image Matching Based on Wavelet Analysis
一种基于小波分析的旋转不变图像快速匹配方法

Image matching is very important in image processing, especially in remote sensing image processing. A nice matchimg method must possess the advantages of high matching precision, fast matching speed and the property of rotation invariant. In this paper, we proposed a novel method for fast image matching based on wavelet analysis with rotation invariant property. The edge of processing image is extracted from the detailed image of wavelet decomposition, which is used to calculate the distance moments of the image; the blurred images are designed for extracting the scale based Concurrent Matrix (SCM) features. A decision tree based on these two types of feature is then formed to implement the matching procedure. Experiments also show that this method is faster, more accurate and better noise robust compared to the traditional model based methods.