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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 7
2183-2187

Cross fusion edge detection algorithm based on CNN

Li Cuijin1,2
Qu Zhong2
1. College of Electronic Information, Chongqing Institute of Engineering, Chongqing 400060, China
2. College of Computer Science & Technology, Chongqing University of Posts & Telecommunications, Chongqing 400065, China
DOI: 10.19734/j.issn.1001-3695.2020.07.0269

Abstract

Aiming at the problems that the current edge detection algorithms rely on the FC layer too much, making the edge line rough and the improper setting of the loss function, which make the gradient disappear and the main characteristics loss. To solve the two problems, this paper proposed a cross-layer fusion edge detection algorithm based on convolutional neural network. It used 1×1 multiple convolution kernels gradient method to reduce the dimension, and completed the acquisition of low-level and high-level feature objects of horizontal and vertical images. Then, the convolutional flowing direction was from top to bottom and from left to right, so that the loss function of each layer could be propagated forward and backward smoothly. Finally, it refined the image edge feature by cross-layer fusion. Experimental results show that ODS F-measure is 0.806 on BSDS500 dataset, which is close to human average visual perception.

Foundation Support

国家自然科学基金资助项目(61701060)
重庆市基础科学与前沿技术研究专项项目(cstc2017jcyjAX0007)
重庆工程学院高科技人才计划资助项目(2019gckv04)
重庆工程学院校内科研基金资助项目(2019xzky06)
重庆市教委科学技术研究青年项目(KJQN201901907)
重庆工程学院校内科研基金资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.07.0269
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 7
Section: Technology of Graphic & Image
Pages: 2183-2187
Serial Number: 1001-3695(2021)07-050-2183-05

Publish History

[2021-07-05] Printed Article

Cite This Article

李翠锦, 瞿中. 基于卷积神经网络的跨层融合边缘检测算法 [J]. 计算机应用研究, 2021, 38 (7): 2183-2187. (Li Cuijin, Qu Zhong. Cross fusion edge detection algorithm based on CNN [J]. Application Research of Computers, 2021, 38 (7): 2183-2187. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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