南京信息工程大学学报2013，Vol.5Issue(1)：69-72,4.
基于分形维数的离线图像分割方法
A new image segmentation method based on statistics and local fractal dimension
摘要
Abstract
To improve the precision of image segmentation,a new method based on statistics and fractal dimension is proposed.This method can be used to segment natural images like tree,road and sky,furthermore,it can also be used in vision system of robot.The proposed method can be roughly divided into three steps,firstly,collect vast amount of Local Fractal Dimension (LFD) of tree,road and sky ; secondly,analyze the LFD distribution characteristics of the three textures,which are mentioned above;finally,segment those three textures according to the distribution characteristics,and then,smooth and filter the image by using mathematical morphological methods.Compared with some other methods,experimental data show that this proposed method can improve the precision of segmentation by using LFD as the feature.关键词
统计学/分形维数/毯子覆盖法/图像分割Key words
statistics / local fractal dimension (LFD) / the blanket method / image segmentation分类
信息技术与安全科学引用本文复制引用
叶小岭,刘太磊,胡凯..基于分形维数的离线图像分割方法[J].南京信息工程大学学报,2013,5(1):69-72,4.基金项目
江苏省产学研联合创新资金(BY2011111) （BY2011111）
江苏省高校优势学科建设工程项目 （）
