Segmentation method of wood microscopic image based on local level set
木材显微图像的局部水平集分割方法

Obtaining various tissues from microscopic of wood images has important significance for the analysis of wood properties, weather changes, and wood species, which relies on the results of image segmentation techniques. Level Set is conducted in the segmentation of wood images in our experiments described in this paper.After the combination of the edge-based and region-based models in Level Set,we introduce the local cues in image to improve the image segmentaion performance for the wood tissue's inhomogeneity and reduce the noise caused by the production of wood specimens. Then, an area threshold is used to get rid of blisters and other impurities in the image to obtain the wood pores at last. Experiments show that the proposed method can smoothly segment images of local non-uniform wood microstructure,and significantly reduced the noise.