Soille Pierre
Joint Research Center of the European Commission, Ispra, Italy.
IEEE Trans Pattern Anal Mach Intell. 2006 May;28(5):673-83. doi: 10.1109/TPAMI.2006.99.
Image mosaicking can be defined as the registration of two or more images that are then combined into a single image. Once the images have been registered to a common coordinate system, the problem amounts to the definition of a selection rule to output a unique value for all those pixels that are present in more than one image. This process is known as image compositing. In this paper, we propose a compositing procedure based on mathematical morphology and its marker-controlled segmentation paradigm. Its scope is to position seams along salient image structures so as to diminish their visibility in the output mosaic even in the absence of radiometric corrections or blending procedures. We also show that it is suited to the seamless minimization of undesirable transient objects occurring in the regions where two or more images overlap. The proposed methodology and algorithms are illustrated for the composition of satellite images minimizing cloud cover.
图像拼接可以定义为将两幅或多幅图像进行配准，然后合并成一幅单一图像。一旦将图像配准到一个公共坐标系中，问题就归结为定义一种选择规则，以便为在多幅图像中都存在的所有那些像素输出一个唯一值。这个过程称为图像合成。在本文中，我们提出了一种基于数学形态学及其标记控制分割范式的合成过程。其目的是沿着显著的图像结构放置接缝，以便即使在没有辐射校正或融合过程的情况下，也能降低它们在输出拼接图像中的可见性。我们还表明，它适用于无缝最小化在两幅或多幅图像重叠区域中出现的不想要的瞬态物体。所提出的方法和算法通过合成卫星图像以最小化云覆盖进行了说明。
