Method of Image Style Transfer Based on Edge Detection

被引：0

作者：

Ye, Hanmin ^{[1
]}

Liu, Wenjie ^{[1
]}

Huang, Shiming ^{[1
]}

机构：

[1] Guilin Univ Technol, Sch Informat Sci & Engn, Guilin, Peoples R China

来源：

PROCEEDINGS OF 2020 IEEE 4TH INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2020) | 2020年

关键词：

neural network; image style transfer; edge detection; markov random field;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to overcome the problem of edge information loss in the process of neural network processing, a method of neural network style transfer based on edge detection is presented. The edge information of the content image is extracted, and the edge information image is processed in the neural network together with the content image and the style image to constrain the edge information of the content image. Compared with Gatys algorithm and markov random field neural network algorithm, the content image edge structure after image style transfer is successfully retained.

引用

页码：1635 / 1639

页数：5

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