摘要
随机游走模型被应用于图像分割领域之后,表现出抗干扰性好、检测弱边界能力强的特点。但是传统随机游走模型依然存在分割效率低和对复杂纹理图像的分割精度低的缺陷。针对这些不足,研究者提出了多种解决方案。本文对随机游走在图像分割中的研究发展进行分析综述。
Random walk model was applied in the field of image segmentation, showing good characteristics of strong anti-interference ability and super detection of weak boundary. But there re- mains the low efficiency of traditional random walk model split and low accuracy for complex texture image segmentation. Aiming at these deficiencies, the researchers put forward a variety of solutions reviewing and analyzing the random walk in the research and development of image segmentation.
出处
《广西师范学院学报（自然科学版）》
2017年第1期71-75,共5页
Journal of Guangxi Teachers Education University(Natural Science Edition)
基金
国家自然科学基金:基于GEP和亚复杂系统的跨媒体时空数据挖掘关键技术研究(No.61363037)
关键词
随机游走
图像分割
图论
random walk
image segmentation
graph theory
