旋转不变的X线图像相关度拼接  

X-ray image mosaic based on rotation invariant correlation

作　　者：赵宏[1,2] 赵凯 江春花[1] 康雁[1] 

机构地区：[1]东北大学,沈阳110004 [2]国家数字化医学影像设备工程技术研究中心,沈阳110004

出　　处：《中国图象图形学报》2013年第6期654-660,共7页Journal of Image and Graphics

基　　金：国家自然科学基金项目(61071213)

摘　　要：针对现有X线图像拼接方法中分别存在的需要固定标志物、鲁棒性差及全景图像存在伪影等问题,提出一种旋转不变的图像自动拼接方法。基于特征点配准,结合改进的、旋转不变的相关度法进行特征匹配,对图像重合度要求较低。在图像融合中则采用2维动态权值和平衡曝光度等策略。经实验验证,本文配准算法在保证结果准确性的同时提高了鲁棒性;本文融合算法可有效地平衡曝光度差异,并避免拼接伪影,极大地提高了全景图像质量。In order to solve the problems of traditional X-ray image mosaic methods, such as the demand for fixed signs, poor robustness, and artifacts in panoramic images, we propose an automatic rotation-independent image mosaic method. This method is based on feature point registration and an improved correlation which is invariant to rotation. It needs lower overlapping areas among images. Two-dimensional dynamic weight and balance exposure have been adopted in image-fusion. Our experiments show that the registration algorithm can improve the accuracy of the results as well as the robust-ness, and the fusion algorithm can effectively balance the exposure difference and eliminate the mosaic artifacts, greatly im-proving the quality of the panoramic images.

关 键 词：配准 融合 图像拼接 图像相关度 X线图像 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]