图象拼接就是把边界部分重叠的多幅图象接成一幅完整图象，图象拼接中的困难之一是：当相邻两幅图象重叠区域缺乏显著特征，或者存在多个特征相似的部分，就会发生伪匹配而导致拼接失败。该文基于均方误差曲线和相邻空间约束关系，提出了一种伪匹配判别方法。实验表明，该方法可以有效的进行伪匹配的判别和消解。

Image mosaicing is to“stitch”together overlapping multiple images into a large image. One of the difficulties in image mosaicing is, when the overlapping region has not evident features or has many similar features, pseudo-match will happen and cause mosaicing failure. Based on MSE curve and constraints between the images, an approach was proposed for distinguishing and solving of pseudo-match. For there are constrains between the images, each image has several calculating paths. When the results of several paths are not identical, pseudo match happened. The difference of two minimal extremum on MSE curve can be used as the degree of belief of matching. We select the path with the highest degree of belief as right matching path. Experimental results demonstrate the efficiency of this method.