Using leather's texture character to performance intelligent segmentation is an efficient way to improve leather product efficiency and production quality. A new method for leather image segmentation is proposed based on proportional template and region boundary adjustment. First

according to the previous experience of leather segmentation

a proportional template used to performance leather image's coarse segmentation is built

then

the leather image is divided into several coarse regions. Second

pixel on the boundary is selected as the center to design a window

and the mean texture period inside the window is computerized using auto-correlation function distribution. By the same way

the mean texture period of the window belong to the region center is also calculated. Two mean texture period are compared to distinguish whether the location of pixel on the boundary need to adjust. The above processes are repeated until the region's texture consistency is limited to scheduled error scope. Simulations show that the proposed method is simple and efficient to segment leather image.