The regional copy-move tampering for a digital image is one of the most common forgery methods. This paper proposes a detection algorithm based on wavelet moment to detect the location of image copy-move tampering. Firstly, we tentatively figure out the suspicious tampered areas in an image by the active contour model based on variational level sets. Secondly, the wavelet moment algorithm is employed to extract wavelet moment features from all suspicious areas. Finally, the real tampered areas are located by using cosine correlation measure to judge the similarity of those suspicious tampered areas. The experiment demonstrates the effectiveness of above mentioned algorithm and its good robustness to the operations of translation, rotation and scale for foreground tampered areas.