Technology of Graphic & Image
|
264-267,272

Fast shape retrieval based on L1 norm

Wang Jianghui
Wu Xiaojun
School of IoT Engineering, Jiangnan University, Wuxi Jiangsu 214122, China

Abstract

In order to solve the problem that the histogram matching time is long and the engineering application is poor, this paper proposed a method that using EMD-L1 to measure the distance between two feature histograms. EMD-L1 fusioned the L1 norm based on the original EMD and replace the calculation of the ground distance to reduce the number of unknown variables. It achieves shape matching quickly and has a good retrieval performance. With a great deal of experiments in several shape databases, the results show that the performance of novel method is superior to original algorithm. And the matching speed is better than other algorithms under the MNIST data set.

Foundation Support

国家自然科学基金资助项目(61373055,61672265)
江苏省教育厅科技成果产业化推进项目(JH10-28)
江苏省产学研创新项目(BY2012059)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.08.0893
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 1
Section: Technology of Graphic & Image
Pages: 264-267,272
Serial Number: 1001-3695(2019)01-061-0264-04

Publish History

[2019-01-05] Printed Article

Cite This Article

王江辉, 吴小俊. 基于L1范数的形状快速匹配算法 [J]. 计算机应用研究, 2019, 36 (1): 264-267,272. (Wang Jianghui, Wu Xiaojun. Fast shape retrieval based on L1 norm [J]. Application Research of Computers, 2019, 36 (1): 264-267,272. )

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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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