基于模板的图像角点提取方法

采用模板的检测策略，提出了一种自动获取图像角点的新方法。根据角点的特征设计了3×3的矩形模板，这些模板包含了所有角点图像的可能模式，然后根据编码准则对这些模板进行编码。在提取图像角点时，先对图像进行降噪、膨胀、细化等一系列处理，再使用模板对图像进行角点检测，从而确定角点的位置。实验证明，与Harris算法相比，这一算法无需人工干预，能够自动确定角点位置，并且角点的平均位置偏差在1个像素内。

Corner Detection Algorithm based on Template

Based on the strategy of detecting template, a new algorithm of corner detection was presented. A 3 × 3 square template was designed, which includes all possible models of corners in image. These models were coded according to a specific rule, and positions of these corners can be located by the template after denoising, swelling, and thinning. Experimental results show that this algorithm can detect corner automatically without manual interposition, and average location errors of corner is within one pixel, compared with Harris algorithm.