摘要
图像分割算法的研究是计算机图像处理与识别技术的关键和难点所在。文中提出的分割算法可分为两步:首先运用基于数学形态学的预处理把图像中的前景简化,同时保留背景信息;然后通过采用上下游决策的改进算法来分割图像,以得到最终结果。针对医学图像样本进行实验,实验结果表明了算法的有效性。
The task of image segmentation is a crucial step in image processing which is an important application of computer vision. The algorithm presented in this article is composed of two steps, which are the morph-based preprocessing and the ameliorated watershed method. In the first step, the foreground is simplified and the background is kept as the same as possible, and then the ameliorated filed-decision watershed method is used to achieve the segmentation of images in the second step. The experimental result shows that the algorithm is effective.
出处
《红外与激光工程》
EI
CSCD
北大核心
2004年第6期607-610,共4页
Infrared and Laser Engineering
关键词
数学形态学
预处理
图像分割
分割单元
Algorithms
Computer vision
Image analysis
Mathematical morphology
Watersheds