An Improved Region Growing Method for Segmentation
Xingyi Li, Lianqing Lu · 2012
This paper presents an improved region growing method. Firstly, the automatic seed region growing method is used in this paper to overcome the blindness for selecting the seed pixels. Secondly, the Normalized Cut (N-cut) method is used between the regions to overcome the disadvantage of the region growing without meaningful regions. Finally, the final image segmentation is obtained. The experimental results show that our method can produce good results as favorably compared to some existing algorthms and it is an effective method for image segmentation.