There are mainly four types of segmentation techniques, namely global thresholding, boundary-based segmentation, region-based segmentation, and mixed segmentation. Seeded Region Growing is an integrated method brought up by Adams and Bischof [4-13], in which few initial seeds are generated, and more similar neighboring regions are then combined to achieve region growing [14-21]. In addition, the method of unsupervised vector seeded region growing suitable for medical multi-spectral images was established. Vector seed selection mainly selects seed pixel vectors by means of standard deviation and relative Euclidean distance. Seeds emerge from even and smooth regions, so the smaller the standard.
