基于直线特征的图像-模型匹配算法

An Algorithm of Image model Matching Based on Straight Line Features

提出了一种新的基于直线特征的图像与模型匹配方法。该方法选择那些可以描述目标边界的直线建立模型。识别时 ,分层次地综合使用直线的多种特性 ,从而提高了效率 ,减少了误匹配的可能性。文中给出了用仿真图像和真实图像所做的实验结果。该算法可以用于目标识别。

The paper presents a new approach to matching an image to a model based on straight line features. In this approach, model is constructed by selecting lines that can describe the boundary of the object. Because the algorithm utilizes multi properties of the line hierarchically, it works efficiently and reduces the possibility of mismatch. Some experiments on both real and emulated images are discribed. It is practical in its applications, such as object recognition, change detection, and vision navigation etc.