摘要
图像分割是图像处理与计算机视觉的基本问题之一,是图像处理到图像分析的关键步骤。目前,图像分割已有上千种方法,既有经典的方法也有结合新兴理论的方法。从分割所应用特定理论工具的角度出发,对近年来图像分割的新方法或改进算法进行综述,并简要讨论了每类分割方法的特点。
Image segmentation is one of basic problems in image processing and computer vision,and is a key step in image processing and image analysis. Thousands of methods have been put forward to image segmentation. Some use classical methods and others use new methods. In this article,a rather complete survey to the image segmentation methods are given, and their characteristics are discussed,especially to the new methods or improvement to the classical methods which is put forward recently.
出处
《现代电子技术》
2006年第6期59-61,64,共4页
Modern Electronics Technique
基金
河南省教育厅自然科学基金(2003110004)
关键词
图像分割
数学形态学
人工神经网络
小渡变换
模糊数学
偏微分方程
image segmentation
mathematical morphology
artificial neural networks
wavelet transform
fuzzy mathematics
partial differential equation
