一种程度可控的形态学多尺度梯度分水岭算法  

Controllable watershed segmentation based on morphological multi-scale gradient

作　　者：黎鑫[1] 刘文予[1] 张帆[1] 

机构地区：[1]华中科技大学电子与信息工程系,武汉430074

出　　处：《计算机应用研究》2008年第2期475-477,481,共4页Application Research of Computers

基　　金：高等学校科技创新工程重大项目培育资金资助项目(705038)

摘　　要：为解决分水岭算法中的过分割现象,提出了一种基于多尺度形态学梯度的谷底填充算法,通过调整填充阈值的方式实现对分割区域数量的控制,同时利用Canny边缘检测算子获取图像边缘信息,以此对梯度图中的边缘位置进行强化和修正,确保分割出的区域轮廓在谷底填充过程中尽可能地保持与目标边缘拟合。仿真结果表明,此算法对于改善过分割现象有明显效果,并且对分割程度具备可控能力,在适应不同场景需求方面存在一定的应用价值。In order to avoid over-segmentation in the watershed transformation, a valley-filling method based on morphological multi-seale gradient was proposed. The amount of the regions in the result of watershed was eontrolled by adjusting a threshold. On the other hand, the edge information was deteeted by the Canny operator, and was used to enhanee and revise the edge in gradient image. As a result of this, the eontours of regions eould perfeetly eoineide with the edge of targets in the image while filling the valleys. Simulations show that the proposed method has an impressive effeet on over-segmentation, and the feature of degree-eontrollable should have its value in applying different requirements.

关 键 词：图像分割 分水岭算法 边缘检测 形态学多尺度梯度 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]