Forest canopy image segmentation is a key step to forest canopy parameters using digital image processing methods According to the characteristics of forest canopy fisheye images with complex background and high resolution

this paper proposed a PSOoptimized forest canopy image decomposition Otsu method 3D segmentation algorithm In this method

the 3D OTSU was decomposed

which reduced the computing time and storage space

and the PSO algorithm was adopted to optimize the twodimensional Otsu to obtain the threshold process Experimental results showed that the algorithm proposed in this paper can quickly and accurately segment the fisheye images of forest canopy

especially in the details of treetops The proposed method can provide a technical support for forest canopy parameters measurement