Technology of Graphic & Image
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3456-3459,3505

Improved Mask R-CNN based instance segmentation method for spine image of books on shelves

Zeng Wenwena
Yang Yangb
Zhong Xiaopinb
a. Library, b. College of Mechatronics & Control Engineering, Shenzhen University, Shenzhen Guangdong 518060, China

Abstract

The application of artificial intelligence technology will be the key to the establishment of the next generation smart library. In order to realize the location and recognition of books, this paper proposed an instance segmentation method for spine image of books on shelves based on improved Mask R-CNN. Considering the difficulties such as the dense arrangement of books, certain rotation and similar texture of book copies, it improved the anchor as a rotating rectangle box, and also developed a rotating region proposal network to replace the region proposal network. Then it used a rotation feature extraction method to reduce the pooling error, and effectively extracted the features of target with rotation, combined with a rotation alignment of the mask to improve the accuracy of the prediction mask. This study built a labelled dataset containing 1 849 spine images of on-shelf books. The test results of the proposed method are much better than those of other key instance segmentation algorithms. It is proves that the use of rotating features in the network is very effective for instance segmentation of dense targets with orientation.

Foundation Support

深圳市科技计划项目(JCYJ20180305123922293)
深圳大学—台北科技大学学术合作专题研究项目(2019009)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.01.0069
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 11
Section: Technology of Graphic & Image
Pages: 3456-3459,3505
Serial Number: 1001-3695(2021)11-045-3456-04

Publish History

[2021-11-05] Printed Article

Cite This Article

曾文雯, 杨阳, 钟小品. 基于改进Mask R-CNN的在架图书书脊图像实例分割方法 [J]. 计算机应用研究, 2021, 38 (11): 3456-3459,3505. (Zeng Wenwen, Yang Yang, Zhong Xiaopin. Improved Mask R-CNN based instance segmentation method for spine image of books on shelves [J]. Application Research of Computers, 2021, 38 (11): 3456-3459,3505. )

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  • 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.

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