光学精密工程2017，Vol.25Issue(3)：792-798,7.DOI:10.3788/OPE.20172503.0792
结合主体检测的图像检索方法
Image retrieval method based on image principal part detection
摘要
Abstract
Aimed at the problem-poor result of image retrieval arising from the complexity of image background,a kind of image retrieval method combined with subject detection was put forward.This method has initially trained the deep Convolutional Neural Network (CNN) model used in object detection and used the model detection well trained to inquiry the object class,class probability and the coordinate and feature of region where it was placed in the image.After the image subject estimated in accordance with the object's class probability and coordinate of region where it was placed,the image similar to the subject in the database was found.The cosine distance of region feature between the image inquired and similar image retrieved was caculated,combined with the class probability to carry out grading and sorting for all images retrieved and returned the top 10 images with the highest scores to be as the retrieved result.Finally verification of algorithm was conducted on VCO2007 dataset and paper dataset collected by myself.The experiment result shows that the total accuracy for retrieved result of 1 000 test images is 96.5 ％,which has raised 6.6 percent points than the existing method.The proposed method can effectively exclude the disturbance of image background and get more accurate retrieved result and location accuracy.关键词
深度学习/特征提取/图像检索/余弦距离Key words
deep learning/feature extract/image retrieval/cosine distance分类
信息技术与安全科学引用本文复制引用
熊昌镇,单艳梅,郭芬红..结合主体检测的图像检索方法[J].光学精密工程,2017,25(3):792-798,7.基金项目
北京市属高等学校青年拔尖人才培育计划资助项目(No.CIT&TCD201404009) （No.CIT&TCD201404009）
科技创新服务能力建设—科技成果转化—提升计划项目(PXM2016_014212_000036) （PXM2016_014212_000036）
