This study proposes a saliency detection algorithm based on the fuzzy enhancement and feature points, using fuzzy enhancement and clustering segmentation to highlights the image object and internal classification. First, extract significant edge points and corner points, calculate the multiple features' means of those points, such as the brightness, color, and gradient features. Then, find all points which are belong to salient regions are closer to the means in the original image. By mathematical morphology to make sure the largest connected region, get salient regions finally. The experimental results show that the algorithm presented in this paper for saliency detection, can improve the accuracy and simplify the computation, the algorithm has an important role in the saliency detection, especially complex texture image.