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Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 12
3885-3888

Feature matching-point purification algorithm based on maximum likelihood

Shi Suxia
Yang Huijun
Yang Qian
Zhang Jianfeng
College of Information Engineering, Northwest A&F University, Yangling Shaanxi 712100, China
DOI: 10.19734/j.issn.1001-3695.2018.08.0584

Abstract

The matching accuracy of image-pair features directly affected the efficiency and performance of subsequent image analysis and processing, so it was necessary to purify and filter the feature matching-points of the image-pair. Firstly, using the SIFT(scale-invariant feature transform) algorithm to extract the salient features from the image and established a rough matching relationship. And applying the nearest neighbor ratio to initialize the matching probability. Then, using EM(expectation-maximization) to establish a spatial transformation model between matching-points based on the maximum likelihood of the hybrid model. After the EM iteration converged, utilizing the correspondences to filtered out the wrong matching-points. The experimental results demonstrate that the average accuracy of the proposed method can reach 96.8%, the average recall rate is 81.6%, the mean time consumption is 3.1 s. This method is higher than other algorithm on the extracting number of correct matching point-pairs and is robust for most cases including a large viewing angle, image rotation and affine transformation.

Foundation Support

陕西省重点研发计划资助项目(2018NY-127)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0584
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 12
Section: Technology of Graphic & Image
Pages: 3885-3888
Serial Number: 1001-3695(2019)12-081-3885-04

Publish History

[2019-12-05] Printed Article

Cite This Article

史素霞, 杨会君, 杨茜, 等. 基于最大似然估计准则的特征匹配点提纯算法 [J]. 计算机应用研究, 2019, 36 (12): 3885-3888. (Shi Suxia, Yang Huijun, Yang Qian, et al. Feature matching-point purification algorithm based on maximum likelihood [J]. Application Research of Computers, 2019, 36 (12): 3885-3888. )

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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