厦门大学学报（自然科学版）2016，Vol.55Issue(6)：888-894,7.DOI:10.6043/j.issn.0438-0479.201511006
基于主动分析的基因芯片图像网格定位
An Active Analysis Method for Microarray Image Gridding
摘要
Abstract
Image processing is a key aspect of cDNA microarrays analysis and the aim of the whole experimental procedure is to ob-tain meaningful biological conclusions,which depend on the accuracy of this stage.Unfortunately,because the complicated hybridiza-tion procedure of microarrays will result in dynamic changing of microarray image quality,results of existing methods can not meet the need of overall accuracy and batch processing.Therefore,through analyzing the current gridding methods and inspired by the hu-man simulated theory,we introduce the active analysis into image processing.First,via autonomous perception,we make sure the ex-istence and degree of uncertainty factors in image processing procedure.Then we reduce or eliminate the affection by adopting corre-sponding methods.Finally,experiments on 384 sub-grids drawn from six different data sets prove that the effectiveness of the pro-posed automatic contrast enhancement method and gridding result self-adj usting.In addition,the proposed method needs no human intervention and parameter setting,and can improve the gridding accuracy to a large extent.关键词
基因芯片/图像处理/网格定位Key words
microarray/image processing/gridding分类
信息技术与安全科学引用本文复制引用
李铁军,孙跃,邵桂芳,上官亚力,吴顺祥..基于主动分析的基因芯片图像网格定位[J].厦门大学学报（自然科学版）,2016,55(6):888-894,7.基金项目
国家自然科学基金(61403318) （61403318）
福建省自然科学基金(2013J01255) （2013J01255）
