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An Improved Corner Detector Based on the Skeleton for Texture Image

  • MATHEMATICAL THEORY OF IMAGES AND SIGNALS REPRESENTING, PROCESSING, ANALYSIS, RECOGNITION AND UNDERSTANDING
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Pattern Recognition and Image Analysis Aims and scope Submit manuscript

Abstract

Texture analysis is a significant area in image processing, but feature point extraction is pretty susceptible to noise in texture images. In this paper, a new method for extracting feature points, especially from the paper overlapping images, is presented, which is using dynamic threshold, mathematical morphology and image thinning to extract potential feature points. And an optimization algorithm is also proposed to promote the repeatability of feature points via analyzing corresponding skeletons. Results show that the proposed algorithm could depress noise, and the repeatability of this method (60%) outperforms traditional feature extraction algorithms, like Harris (46%), FAST (57%), and SUSAN (45%), in paper overlapping images.

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ACKNOWLEDGMENTS

Bin Zhang of ZZU helped the authors with experiments in this paper, and Wei Li of TU Darmstadt assisted us with submission and revision of the manuscript.

Funding

The authors acknowledge findings and scholarships supported by School of Physics and Engineering, Zhengzhou University.

Author information

Authors and Affiliations

  1. School of Physics and Engineering, Zhengzhou University, 450001, Zhengzhou, Henan Province, China

    Jinda Liu & Hongxing Pei

  2. Henan Academy of Big Data (Zhengzhou University), 450052, Zhengzhou, Henan Province, China

    Hongxing Pei

  3. School of Information Engineering, Zhengzhou University of Industry Technology, 451150, Xinzheng, Henan Province, China

    Jinda Liu

Authors
  1. Jinda Liu
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  2. Hongxing Pei
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Corresponding author

Correspondence to Hongxing Pei.

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COMPLIANCE WITH ETHICAL STANDARDS

This article does not contain any studies involving animals or human participants performed by any of the authors.

CONFLICT OF INTERESTS

The authors declare that they have no conflicts of interest.

Additional information

Jinda Liu, 1993, graduated from Zhengzhou University with Master Degree in July 2019, and Liu is a research assistant in Zhengzhou University now. The areas of research include image processing and machine vision.

Hongxing Pei, 1975, was awarded PhD by Beijing Institute of Technology in Jan. 2009. Now, Li is associate professor in the School of Physics and Engineering in Zhengzhou University, and also is the Deputy Dean in Henan Academy of Big Data. The fields of research are machine vision, artificial intelligence and big data, and several publications were published on Information Technology Journal, Journal of Networks, etc.

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Liu, J., Pei, H. An Improved Corner Detector Based on the Skeleton for Texture Image. Pattern Recognit. Image Anal. 31, 221–227 (2021). https://doi.org/10.1134/S1054661821020115

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  • DOI: https://doi.org/10.1134/S1054661821020115

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