现代电子技术2017，Vol.40Issue(14)：106-108,113,4.DOI:10.16652/j.issn.1004-373x.2017.14.030
多帧CT图像数据的测序数据挖掘与规律分析
Sequencing data mining and rules analysis of multi-frame CT image data
摘要
Abstract
Because the pathological diagnosis with multi-frame CT image may result in the erroneous judgment due to the redundant data mining information,a sequencing data mining method of multi-frame CT image data is put forward,which is based on the extraction and batch processing of the association contour line feature of CT image.The collected multi-frame CT image is performed with denoising and feature optimization.The Sobel operator template is adopted to match the template of the CT image sequencing data.The contour line is searched on the basis of edge prior knowledge.The continuous batch processing method is employed to mine and analyze the continuous sequencing data of the multi-frame CT image,and improve the processing efficiency.The simulation analysis results show that the method can extract the feature of image contour line accurately for multi-frame CT image processing,mine the sequencing data exactly,and has high operation efficiency.关键词
CT图像/数据挖掘/批处理/轮廓线特征提取Key words
multi-frame CT image/data mining/batch processing/contour line feature extraction分类
信息技术与安全科学引用本文复制引用
何拥军,骆嘉伟,余爱民..多帧CT图像数据的测序数据挖掘与规律分析[J].现代电子技术,2017,40(14):106-108,113,4.基金项目
国家自然科学基金(61572180) （61572180）
广东省高校高层次人才项目(粤财教[2013]246号) （粤财教[2013]246号）
