计算机应用与软件Issue(2)：173-178,6.DOI:10.3969/j.issn.1000-386x.2016.02.042
一种自适应图像数据源的花卉图像分割方法
A FLOWER IMAGES SEGMENTATION METHOD BASED ON ADAPTIVE IMAGE DATA SOURCES
摘要
Abstract
To solve the problem of extracting the goal of flowers in various colours under natural scene,this paper presents a colourful im-age segmentation method which is based on self-adaptive image data source.In this method,different data sources of an image correspond to different colour component information in image.Since fuzzy c-means clustering algorithm (FCM)is a local search algorithm,therefore the new method first uses the global optimisation property of bacterial foraging optimisation (BFO)algorithm and combines it with FCM,so as to find the respective global optimal cluster centre of an image under multiple colour components;then,the new method uses a new integrated fuzzy clustering evaluation function to obtain the classification quality of the image under different colour components,i.e.different data sources;finally,the new method outputs the classification results with best classification quality.The paper experiments on ten representative images in real scene acquisition,results prove that the new scheme can adapt to the changes of the target colours and background factors,and segments the targets closer to expected goal.关键词
自适应图像数据源/彩色图像分割/新的模糊聚类评价函数/FCM/BFO/目标提取Key words
Self-adaptive image data source/Colourful image segmentation/New fuzzy clustering evaluation function/FCM/BFO/Target extracting分类
信息技术与安全科学引用本文复制引用
王钰婷,李珺,廖周宇..一种自适应图像数据源的花卉图像分割方法[J].计算机应用与软件,2016,(2):173-178,6.基金项目
甘肃省教育厅科研基金项目（1204－13）。 （）
