基于轮廓的侧扫声呐图像配准

Registration of side-scan sonar image based on contour

针对侧扫声呐图像存在局部畸变,导致共视目标不一致的问题,本文提出了一种基于轮廓的侧扫声呐图像配准方法。首先提取图像中目标轮廓并计算每个轮廓点的环境上下文描述,以环境上下文的χ2检验统计量作为代价函数;然后通过使得所有匹配点对的代价和最小,获得轮廓点的对应关系;最后使用正则化的薄板样条函数对图像变换关系求解,建立轮廓内部像素的对应关系。试验结果表明,本文方法能够较好地保证共视目标的一致性,具有一定的借鉴价值。

Aiming at the problem of inconsistency of common-view targets caused by local distortion in side-scan sonar images,this paper presents a contour-based registration framework for side-scan sonar images.Firstly,the target contour is extracted and the environmental context description of each contour point is calculated,with theχ2 test statistics of the environmental context as the cost function.Then,the corresponding relationship of contour points is obtained by minimizing the cost of all matching points.Finally,the regularized thin-plate spline function is used to solve the image transformation relationship,and the contour is established.Correspondence of internal pixels.Experiments show that this method can effectively ensure the consistency of common-view targets,and has a certain reference value.