Computed laminography imaging has its unique advantages in nondestructive testing of plate componenis, However, due to thelimited projection angle, there are limited-angle artifacts and blur in the sliced image. In order to improve the image quality of computedlaminography, a filtered back-pmojection algorithm based on projection view-weighting is proposed, which effectively suppresses theinterference of high-density features to other slices. Firstly, aceording to the dissimilarity among the sliced images from diferentprojeetion views, the weighing coeficients of different projeetion views are determined,and then the projeetion is reconstructed byweighted back-projcetion. Finally, the effeets of three different weighting eoefficients on the quality of reeonstrueted images are analyzed,and this paper takes the modulation of slice sensitivity profile as the quantitative evaluation index, the modulation of slice sensitivityprofiles for unweighted and three different weighting coefficients are 0.082,0.267,0.290 and 0.294,respectively. The experimentresults show that the proposed algorithm reduces the sliced image aliasing, the modulation of slice sensitivity profile is increased by about 0.2 and the quality of recnstrueted images is signifieantly improved.