基于分水岭和欧拉数原理的智能计数方法  

A Counting Method Based on Watershed and Euler Number

作　　者：林小竹[1] 王彦敏[1] 田瑞卿[1] 

机构地区：[1]北京石油化工学院信息工程学院,北京102617

出　　处：《微电子学与计算机》2007年第2期17-20,共4页Microelectronics & Computer

摘　　要：分水岭图像分割方法是图像分割领域中一种经典有效的方法,它以快速,有效、准确的分割结果越来越得到人们的重视,在基于分水岭变换的模拟浸水原理基础上提出了一种新的快速、有效、准确的图像分割算法,可以有效地分割图片中的目标物体,并且数据处理量小,算法复杂度低。同时将该算法和欧拉数计算公式相结合,应用于图像中目标物体的计数方面,使得对目标图像中的物体分割和计数变得简单、快捷。这是一种切实可行的目标图像的分割和计数方法。The image segmenting method that based on the watershed transform is a classic and efficient method in image segmenting field, More and more people pay attchtion to it for its correct result and fast executing process. A fast, efficient and correct image segmenting method was presented in this paper, which can make the objects separated from each other efficiently and only using a little data and low complexity. Meanwhile, this image segmentation method was successfully combined with the formula of computing the Euller Number that was put forward by the author and was applied to counting the target objects in image. 50, the complicated work of counting target objects became easy and efficient.

关 键 词：分水岭 模拟浸水 欧拉数 连通性 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]