嵌套网络模型下的相似图像检索方法

doi:10.3969/j.issn.0255-8297.2022.03.004

应用科学学报 ›› 2022, Vol. 40 ›› Issue (3): 400-410.doi: 10.3969/j.issn.0255-8297.2022.03.004

嵌套网络模型下的相似图像检索方法

倪翠¹, 王朋¹, 朱元汀¹, 张东²

1. 山东交通学院信息科学与电气工程学院, 山东济南 250357;
2. 山东省科学院自动化研究所, 山东济南 250014

收稿日期:2021-05-12 发布日期:2022-05-25
通信作者: 倪翠,副教授,研究方向为数字图像处理。E-mail:emilync@126.com E-mail:emilync@126.com
基金资助:
国家自然科学基金青年基金(No.61502277);山东省重点研发计划基金(No.2019GHZ006);山东省科学院科教产融合创新试点工程项目基金(No.2020KJC-GH05)资助

A Similar Image Retrieval Method Based on Nested Network Model

NI Cui¹, WANG Peng¹, ZHU Yuanting¹, ZHANG Dong²

1. School of Information Science and Electric Engineering, Shandong JiaoTong University, Jinan 250357, Shandong, China;
2. Institute of Automation, Shandong Academy of Sciences, Jinan 250014, Shandong, China

Received:2021-05-12 Published:2022-05-25

摘要/Abstract

摘要： 对深度学习领域的稠密卷积网络（dense convolutional network,DenseNet）进行改进，提出了一种嵌套网络模型下的相似图像检索方法。该方法主要通过嵌入压缩和激励网络（squeeze-and-excitation network,SENet），调整原DenseNet网络结构，优化特征提取模块，从而提高图像检索的准确率。在整个深度学习的过程中，给图像特征通道设置合理的权值，抑制图像中的无效特征，能够进一步提高图像的检索速度。实验结果表明，所提算法能够加强图像有效特征的传递，无论从精度和速度方面均可得到较好的图像检索结果。

关键词: 稠密卷积网络, 压缩和激励网络, 嵌套, 抑制无效特征, 图像检索

Abstract: A similar image retrieval method based on nested network model is proposed by improving the traditional dense network (DenseNet) which is a common deep-learning method. First, the proposed algorithm optimizes feature retrieving blocks by embedding squeeze-and-excitation network (SENet) into the original DenseNet and adjusting the structure of the DenseNet, so as to improve the accuracy of image retrieval. Second, the algorithm achieves the speed-up of image retrieval by setting proper weight for each feature channel of the image, thus suppressing the processing time of those invalid features. Experimental results show that the algorithm can strengthen the transmission of effective image features and improve the accuracy of image researching results effectively.

Key words: dense convolutional network (DenseNet), squeezing-and-excitation network(SENet), nesting, suppress invalid feature, image retrieval

中图分类号:

P315.69

倪翠, 王朋, 朱元汀, 张东. 嵌套网络模型下的相似图像检索方法[J]. 应用科学学报, 2022, 40(3): 400-410.

NI Cui, WANG Peng, ZHU Yuanting, ZHANG Dong. A Similar Image Retrieval Method Based on Nested Network Model[J]. Journal of Applied Sciences, 2022, 40(3): 400-410.

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嵌套网络模型下的相似图像检索方法

A Similar Image Retrieval Method Based on Nested Network Model

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