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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 7
2200-2202

Semantic segmentation of foggy images based on atrous spatial pyramid pooling

Jiao Jian
Zhang Lei
Li Jing
College of Information Science & Electronic Technology, Jiamusi University, Jiamusi Heilongjiang 154007, China
DOI: 10.19734/j.issn.1001-3695.2020.07.0266

Abstract

Aiming at the problem of low segmentation accuracy in semantic segmentation of foggy images, this paper proposed a semantic segmentation method of foggy images that based on atrous space pyramid pooling, Xception module and residual network. On the one hand, this algorithm used the atrous space pyramid pooling and residual network to extract the multi-scale context features of the input image by the parallel convolution of multiple sampling rates and the convolution kernel size of 1×1. On the other hand, it used the decoder structure to classify the extracted features with Xception module after pretraining, and the prediction results of each pixel enhanced the refinement of the segmentation boundary and got the segmentation result with fine boundary. Experimental results show that the average intersection and union ratio of the proposed algorithm on foggy cityscapes dataset are 73.03%, 73.81% and 74.50%, and the segmentation performance is good.

Foundation Support

中国博士后科学基金资助项目(2019M661260)
黑龙江省自然科学基金优秀青年项目(YQ2019F018)
黑龙江省省属高等学校基本科研业务费项目优秀创新团队项目(2019-KYYWF-1335)
佳木斯大学优秀学科团队项目(JDXKTDG2019008)
佳木斯大学博士专项科研基金启动项目(JMSUZB2018-01)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.07.0266
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 7
Section: Technology of Graphic & Image
Pages: 2200-2202
Serial Number: 1001-3695(2021)07-053-2200-03

Publish History

[2021-07-05] Printed Article

Cite This Article

矫健, 张磊, 李晶. 基于空洞空间金字塔池化的雾天图像语义分割 [J]. 计算机应用研究, 2021, 38 (7): 2200-2202. (Jiao Jian, Zhang Lei, Li Jing. Semantic segmentation of foggy images based on atrous spatial pyramid pooling [J]. Application Research of Computers, 2021, 38 (7): 2200-2202. )

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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