The characteristics of fractional differential and its mask operator are investigated, and a new enhancement algorithm of fractional differential images is proposed based on local binary pattern variance (LBPV). The LBPV theory is used for the feature extraction of images. A more effective fractional mask template is constructed. The experimental results show that compared with the existing enhancement algorithms of fractional differential images, the proposed algorithm performs better in the textures and details of enhanced images.