A method for stitching light-field images is proposed based on spatial plane segmentation and projective transformation. The spatial plane fitting and segmentation are performed on the target scene according to the depth map, and the initial segmentation result is refined using a Markov random framework model according to the color information. The corresponding segmentation regions are projected to the same viewpoint using the projective transformation matrix, which is calculated using the optical-flow information among different viewpoints. Finally, a minimum energy seam is calculated to stitch together the corresponding overlapped regions, and a Poisson optimization technique is utilized to blend the stitched area. The experimental results show that the proposed method can generate large field of view light-field images without any ray misalignment or noticeable geometric distortion.