基于空间像素强度的脑瘤图像检索方法  

Brain Tumor Images Retrieval Method Based on Spatial Pixel Intensity

作　　者：李清亮 张子鹏 时玮淞 蒋振刚[1] 赵家石 师为礼[1] LI Qingliang;ZHANG Zipeng;SHI Weisong;JIANG Zhengang;ZHAO Jiashi;SHI Weili(School of Computer Science and Technogogy , Changchun University of Science and Technogogy, Changchun 130022, China;School of Egectro Optical Engineering Changchun University of Science and Technology, Changchun 130022, China)

机构地区：[1]长春理工大学计算机科学技术学院,长春130022 [2]长春理工大学光电工程学院,长春130022

出　　处：《吉林大学学报（理学版）》2018年第3期676-680,共5页Journal of Jilin University:Science Edition

基　　金：吉林省科技发展计划项目(批准号:20140101182JC;20150101060JC;20150307030GX;20160204048GX;20170204031GX);国际科技合作项目(批准号:2015DFA11180);吉林省经济结构战略调整引导专项基金(批准号:2015Y059);吉林省产业创新专项基金(批准号:2016C081);吉林省教育厅"十三五"科学技术研究项目(批准号:JJKH20181098KJ);长春理工大学青年基金(批准号:XQNJJ201608)

摘　　要：针对脑瘤图像提出一种基于内容的检索方法.首先采用图像膨胀算法增强脑瘤图像的感兴趣区域(ROI);然后基于点的空间像素强度的特征提取方法,描述脑瘤图像增强后的ROI局部特征;最后引入聚合特征算法提高图像特征的辨别能力和压缩能力.实验对比3种脑瘤图象检索方法的结果表明,该算法可得到较高的检索精确度,可实现高效、准确的脑瘤图像检索.In view of brain tumor images,we proposed a retrieval method based on content.Firstly,we augmented the region of interest（ROI）of brain tumor images by using the image expansion algorithm.Secondly,based on the feature extraction method of point-based spatial pixel intensity,we described the local characteristics of the augmented ROI.Finally,we introduced the aggregated feature algorithm to improve the discrimination and compression ability of image features.The results of the experimental comparison of three brain tumor image retrieval methods show that the algorithm can obtain high retrieval accuracy and prove that the algorithm can achieve efficient and accurate brain tumor image retrieval.

关 键 词：脑瘤图像检索 基于内容图像检索 聚合特征 词袋模型 空间像素强度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]