Aiming at problem that conventional semantic segmentation models cannot describe object contour accurately under complex circumstance

a new image semantic segmentation method based on segmented block is proposed.Structural forest method is applied to generate contour probability.And the method of watershed is used to transform to initial block of image segmentation. To avoid over-segmentation

ultrametric contour map（UCM）algorithm is performed to select appropriate threshold to generate segmentation block

so as to obtain more accurate contour information. By random forest

train block of image segmentation

obtain semantic segmentation result.Experimental results demonstrate that the proposed method based on segmentation block is superior to traditional methods on precision

robustness and rate while handling complex semantic segmentation task.