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.