Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 11
3512-3515

Semantic segmentation method integrating multilevel features

Feng Xingjiea,b
Sun Shaojiea
a. School of Computer Science & Technology, b. Information Network Center, Civil Aviation University of China, Tianjin 300300, China
DOI: 10.19734/j.issn.1001-3695.2019.07.0249

Abstract

Convolutional neural network has achieved remarkable results in semantic segmentation tasks, because of its powerful learning ability. However, how to effectively use the low-level visual features and high-level semantic features of the network has been a research hotspot. Therefore, this paper proposed a semantic segmentation method that integrated multilevel feature information. This method extracted the features of each level through atrous convolution, iterated the deep features to enrich the low-level visual information, and finally merged with the high-level semantic features to obtain the fine semantic segmentation results. On the PASCAL VOC 2012 dataset, this method was compared with the five main methods. In the GTX1080Ti environment, the value of mIoU(mean banding-over-union) increased by 2.1% compared with the model whose performance was the second, and was only 0.4% lower than that of the model whose performance was the first. The result indicates that the proposed method can effectively make use of multi-level feature information, and the realize the purpose of image semantic segmentation.

Foundation Support

国家自然科学青年基金资助项目(61301245,61201414)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.07.0249
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 11
Section: Technology of Graphic & Image
Pages: 3512-3515
Serial Number: 1001-3695(2020)11-064-3512-04

Publish History

[2020-11-05] Printed Article

Cite This Article

冯兴杰, 孙少杰. 一种融合多级特征信息的图像语义分割方法 [J]. 计算机应用研究, 2020, 37 (11): 3512-3515. (Feng Xingjie, Sun Shaojie. Semantic segmentation method integrating multilevel features [J]. Application Research of Computers, 2020, 37 (11): 3512-3515. )

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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.

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