Image retrieval based on convolutional neural network and linear discriminate analysis

2019 2nd International Conference on Advanced Materials, Intelligent Manufacturing and Automation

Xia, Wei^1^2 ; Hu, Cong^1^2 ; Cheng, Xianghui^1^2 ; Chen, Peng^1^2 ; Jin, Xing^1^2

School of Automation, China University of Geosciences, Wuhan

430074, China^1

Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System, Wuhan

430074, China^2

关键词: Convolution neural network;    Convolutional neural network;    Hot research topics;    Image database;    Linear discriminate analysis;    Research status;    Retrieval accuracy;    Retrieval methods;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/569/5/052052/pdf
DOI  :  10.1088/1757-899X/569/5/052052

来源: IOP

【 摘 要 】

Image retrieval is a hot research topic in the field of computer vision image processing, and the user queries the image database for similar images and produces a list of recommendations. The paper firstly sets forth the research status of image retrieval, then the convolution neural network is briefly introduced. Due to the traditional image retrieval and recommendation system use manual extraction of image features is relatively cumbersome, and the retrieval accuracy is not high research status, the paper proposes an image retrieval method based on the improved convolutional neural network and linear discriminate analysis. Caltech256 and CIFAR-10 datasets were trained using the model in this paper, experimental, results show that the proposed method can effectively improve the performance of retrieval.