基于B样条小波融合的平面足迹图像边缘特征提取方法研究

Research on Edge Characters Extraction Method for Planar Footprint Based on B-Spine Wavelet Fusion

提出了一种基于B样条小波融合的平面足迹图像边缘特征提取方法。该方法首先将采集来的平面足迹图像复制成二幅,然后使用Prewitt算子和Robert算子分别对这两幅足迹图像进行边缘特征提取,最后使用B样条小波将所获取到的两幅图像的边缘特征图像进行图像融合。实验表明,经过B样条小波融合后的平面足迹边缘特征图像优于使用单一方法所获得的结果,因此本文所提出的方法是一种行之有效的平面足迹图像边缘特征提取方法。

The authors brought forward a kind of characters extraction method for planar footprint based on B-Spine wavelet fusion in the paper.The method,firstly,copies the collected planar footprint image into two pictures.Then the Prewitt arithmetic operator and Robert arithmetic operator are used to extract the characters of planar footprint pictures,respectively.Finally,using B-Spine wavelet fuses the two pictures with obtained edge characters.Experiments showed that the characters of fused planar footprint image excelled other image that only used single method.So the method in the paper is effective method to extract planar footprint characters.