基于图切割的图像拼接技术研究

虽然图像拼接技术已进行多年研究,但是鬼影和曝光差异仍然难以消除。为解决这两个问题,提出了一种基于图切割的图像拼接方法。该方法结合图切割和泊松融合技术,首先利用每个像素邻域统计得到的梯度方向直方图来计算重叠区的带权有向图的权值,并通过实现稳定的图切割缝合线搜索,以消除鬼影;然后利用重叠过渡的泊松融合过程解决了缝合线拼接后的曝光差异问题,从而最终实现平滑的图像拼接。实验表明,该算法能够效地消除鬼影和曝光差异。

Research of Image Mosaic Based on Graph Cut

Image mosaic has been researched for several years,but still it is hard to realize mosaic without ghosting and exposure difference.In this paper,for resolving these two problems,a new image mosaic method based on graph cut is presented.This method integrates two techniques:first graph cut,it is used to calculate a robust graph cut seam-line for deghosting by initializing the weighted directed graph with gradient direction histogram of each pixel;second Poisson image fusion,to further eliminate the exposure difference by an overlap transition Poisson image fusion procedure.Experimental results demonstrate the efficiency of our proposed method.