说明：  区域增长方法是根据同一物体区域内象素的相似性质来聚集象素点的方法，从初始区域（如小邻域或甚至于每个象素）开始，将相邻的具有同样性质的象素或其它区域归并到目前的区域中从而逐步增长区域，直至没有可以归并的点或其它小区域为止。区域内象素的相似性度量可以包括平均灰度值、纹理、颜色等信息。
(Region growing method is based on similar properties in the same region within the object pixel to pixel aggregation method, the initial area (such as small neighborhood or even working for each pixel), the adjacent pixels having the same nature or other areas merged into the current region so as to gradually increase the area until there is no date can merge point or other small areas. Similarity measure pixel area may include the average gray value, texture, color and other information.)