Watershed Image Segmentation Based on Nonlinear Combination Morphology Filter

摘要：

Traditional watershed algorithm ability to inhibit noise is not that strong, so causing regional minima and leading to over-segmentation. So a watershed image segmentation algorithm based on the nonlinear combination morphology filter has been put forward. First of all, we define the nonlinear combination morphology filter with opening-closing operators and closing-opening operators for image filtering; Secondly, we design a new morphology watershed algorithm with inner and external marks, and also define the regional minima to inner marks from the low frequency components of the gradients and external marks between the region, the inner and external marks changes along with the image information, thus has realized the adaptive image segmentation. Simulation results show that the new algorithm can reduce over-segmentation arising from false local minima in a gradient image which is caused by the noise, which could accurately realize the image segmentation.

关键词： Image Segmentation Morphology Filter Watershed Algorithm Gradient

作者: XIA Ping TANG Tinglong

作者单位: Institute of Intelligent Vision and Image Information, Three Gorges University , YiChang 443002,Chin College of Electronic Engineering, Three Gorges niversity, YiChang 443002,China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 2059-2062

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）