In this paper,an algorithm for detecting brain tumors in MRI images based on directional features and saliency modeling is proposed.The designed model first preprocesses the MRI brain images to remove the interference from the skull region of the image,and then uses saliency detection based on directional features to increase the contrast of the lesion region,so as to more accurately extract the region of the tumors.Extensive experiments have been carried out on the brain image dataset and compared with several other saliency detection methods,which proves the effectiveness of the algorithm and provides reliable auxiliary diagnosis and clinical reference for doctors.