计算机应用与软件Issue(1)：194-196,200,4.DOI:10.3969/j.issn.1000-386x.2014.01.051
三种图像分割算法的对比及图像分割方法的改进
CONTRAST OF THREE IMAGE SEGMENTATION ALGORITHMS AND IMPROVEMENT OF IMAGE SEGMENTATION METHODS
摘要
Abstract
By analysing their principles and experiment contracts,we can find that the marker controlled watershed segmentation is an edge-based segmentation method,it segments the image by setting the spectral feature marker and has high edge precision in segmentation result,but still has a lot of over-segmentation and under-segmentation situations.As the segmentation methods based on spectral feature,the mean shift segmentation method and the eCognition segmentation method have less over-segmentation and under-segmentation situations in segmentation results,but the edge precision of segmenting objects is poorer.With the analysis on the problems above,in this paper we select the seed points according to certain features through fusing the edge features and regional features,and do best to avoid the seed points to be chosen near the edges,so as to improve the image segmentation effects.Better result is also obtained through the experiment,this proves that the improved segmentation method is feasible.关键词
分割/分水岭分割/分型网络演化方法/Mean shift/种子点Key words
Segmentation/Watershed segmentation method/Fractal net evolution approach/Mean shift/Seed point分类
信息技术与安全科学引用本文复制引用
朱俊杰,杜小平,范湘涛,郭华东..三种图像分割算法的对比及图像分割方法的改进[J].计算机应用与软件,2014,(1):194-196,200,4.基金项目
国家自然科学基金项目（41071274）；国家科技支撑计划课题（2012BAC16B01）。 （）
