The light field camera can obtain the four-dimensional light field data from stereoscopic space with one shot. After that, the depth information can be extracted by multiview characteristic of the light field. However, the existing depth estimation method rarely considers the presence of occlusion in the scene. The accuracy of the extracted depth information is significantly reduced, when the scene is blocked. Aiming at this problem, this paper presents a new depth estimation method of light field image based on multi-clues fusion to obtain high-precision depth information. Firstly, the adaptive defocus algorithm and the adaptive matching algorithm are used to extract the depth information of the scene. And then the peak ratio is taken as confidence to synthesize the depth images. Finally, the fusion depth map is filtered by a combined filter with structural consistency, and a high precision depth map is obtained. The experimental results in the virtual data and real data show that , compared with other advanced algorithms, the depth images obtained by the proposed method are more accurate, less noise, and the edges are more clearer.