Computer Engineering and Applications ›› 2015, Vol. 51 ›› Issue (1): 172-176.

### Roots image intersection separation based on morphology and distance transformation

SHI Rui1, LIU Hui1, ZHU Xin1, LIU Jingmiao2, JIA Qingyu2

1. 1.College of Computer Science, Chongqing University, Chongqing 400044, China
2.Institute of Atmospheric Environment, China Meteorological Administration, Shenyang 110016, China
• Online:2015-01-01 Published:2015-01-06

### 基于形态学和距离变换的根系图像交叉的分离

1. 1.重庆大学 计算机学院，重庆 400044
2.中国气象局 沈阳大气环境研究所，沈阳 110016

Abstract: Image segmentation has now become one of the indispensable steps in digital image processing. Due to various?image sources and target forms, no one method is suitable for all images. In order to separate the branches and crossing and overlapping roots, this paper puts forward a method based on the combination of morphology and distance transformation. Morphology is used to dilate intersections of roots skeleton and get root segments. Improved distance transformation is used to get influence areas and the boundary is considered as the separation lines. Experimental results demonstrate that proposed approach is able to resolve the separation of crossed roots and branches of root with obvious separation results and reasonable computational complexity.