To improve the quality of images reconstructed by planar electromagnetic tomography (EMT), a planar EMT image fusion algorithm is proposed, which is based on array rotation and improved evidence theory. For the first time, the sensor array rotation is applied to the field of planar EMT to increase the number of independent measurement. The measurement information of different rotation angles are used to achieve EMT image fusion. To address the problem that Dempster′s rule is insufficient in dealing with conflicting evidence, the data are clustered for all evidences to be fused to obtain an adaptive threshold. According to this threshold, all evidences are divided into two types, which are conflicting and non-conflicting. The different fusion rules are applied separately. The relationship between the number of rotation and the imaging effect is studied by simulation. Based on the array rotation and an improved D-S evidence theory, the artifacts are removed. The planar electromagnetic sensor with eight coils is developed. The aluminum plate fake detection shows the algorithm is effective. The relative image error of new method is reduced by 17. 0% and the correlation coefficient is increased by 22. 7% compared with traditional method.