Abstract: Considering the depth images of plants provided by depth camera are incomplete, and common filtering methods cannot inpaint the plant depth images accurately, we propose a plant depth images inpainting method which is based on target features. Firstly, targets of plant color images are segmented by using a color image segmentation algorithm based on color and spatial information, then the outer contour of each target is retrieved, and polygon for each outer contour is fitted. Secondly, the pixels with correct depth value in the depth images are searched to act as sampling points, and meanwhile the leaf maps are normalized. Finally, using spatial fitting method to calculate every target area’s equation to correct the small area’s depth pixels which need to be corrected. In the meantime, support vector machine and spatial transformation are used to get the accurate large area’s depth pixels which need to be corrected. The experiments show that the proposed method achieves better performance for plant depth image inpainting, and protects targets’ edge information.

Key words: plant depth image inpainting, target segmentation, spatial fitting, support vector machine, spatial transformation