吉林大学学报（理学版）2018，Vol.56Issue(3)：676-680,5.DOI:10.13413/j.cnki.jdxblxb.2018.03.34
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
摘要
Abstract
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Key words
brain tumor image retrieval/content-based image retrieval/aggregated feature/bag-of-words model/spatial pixel intensity分类
信息技术与安全科学引用本文复制引用
李清亮,张子鹏,时玮淞,蒋振刚,赵家石,师为礼..基于空间像素强度的脑瘤图像检索方法[J].吉林大学学报（理学版）,2018,56(3):676-680,5.基金项目
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)和长春理工大学青年基金(批准号:XQNJJ201608). （批准号:2015DFA11180）
