摘要
图像分割是图像处理领域的重点和难点,是从图像处理到图像分析的关键技术,是许多智能化图像分析系统中不可或缺的一步。本文主要从静止图像和运动图像两方面对图像分割的算法加以概括总结,指出图像分割技术在抗干扰性、鲁棒性、实时性和自适应性等方面的发展变化,并简要介绍近几年图像分割中的新方法,如支持向量机(SVM)方法和贝叶斯(Bayesian)决策理论,最后对图像分割技术的发展作出总结和展望。
Image segmentation is the emphasis and difficulty in the image processing field, key technology from image processing to image analysis, an indispensable step for many intelligent image analysis systems. This paper summarizes the algorithms of image segmentation from two aspects ： still images and moving images, and points out the development and changes of image segmentation about antiinterference, robust, real-time and adaptive. The research in addition introduces a new method of image segmentation in recent years briefly, and makes conclusions and outlooks for image segmentation technology.
出处
《山东建筑大学学报》
2010年第1期85-89,93,共6页
Journal of Shandong Jianzhu University
关键词
图像分割
支持向量机算法
贝叶斯决策理论
image segmentation
support vector machine algorithm
Bayesian decision theory
