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A Contour-Based Multi-scale Vision Corner Feature Recognition Using Gabor Filters

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Advances in Brain Inspired Cognitive Systems (BICS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11691))

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Abstract

This paper proposes a corner detection algorithm based on the correlation matrices, in which the combination of edge shapes and gray variations in multiple scalars are used. First, a Canny edge detector is used to detect the edge contours of an input image. In each scale, the direction derivative of each pixel on the edge curves and its surrounding pixels are extracted by using Gabor filters with imaginary parts (IPGFs), which are further used to construct the correlation matrices. Then, the sum of normalized eigenvalues of the correlation matrices at different scales is computed to extract potential corners. Finally, non-maximum suppression and a threshold are used to extract final corners. The experimental results show that the proposed method improves the detection accuracy and is noise resistance compared with Harris algorithm.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 61401347), the Shaanxi natural science basic research project under Grant 2017JQ6058, and the Scientific Research Program funded by Shaanxi Provincial Education Department, P. R. China, under Grant 19JK0364.

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Authors and Affiliations

  1. College of Electronics and Information, Xi’an Polytechnic University, Xi’an, Shanxi, 710048, People’s Republic of China

    Jie Ren, Nannan Chang & Weichuan Zhang

Authors
  1. Jie Ren
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  2. Nannan Chang
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  3. Weichuan Zhang
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Corresponding author

Correspondence to Jie Ren .

Editor information

Editors and Affiliations

  1. University of Strathclyde, Glasgow, UK

    Jinchang Ren

  2. Edinburgh Napier University, Edinburgh, UK

    Amir Hussain

  3. Guangdong Polytechnic Normal University, Guangzhou, China

    Huimin Zhao

  4. Xi’an Jiaotong-Liverpool University, Suzhou, China

    Kaizhu Huang

  5. Northwestern Polytechnical University, Xi'an, China

    Jiangbin Zheng

  6. Guangdong Polytechnic Normal University, Guangzhou, China

    Jun Cai

  7. Guangdong Polytechnic Normal University, Guangzhou, China

    Rongjun Chen

  8. Guangdong Polytechnic Normal University, Guangzhou, China

    Yinyin Xiao

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Ren, J., Chang, N., Zhang, W. (2020). A Contour-Based Multi-scale Vision Corner Feature Recognition Using Gabor Filters. In: Ren, J., et al. Advances in Brain Inspired Cognitive Systems. BICS 2019. Lecture Notes in Computer Science(), vol 11691. Springer, Cham. https://doi.org/10.1007/978-3-030-39431-8_42

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  • DOI: https://doi.org/10.1007/978-3-030-39431-8_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-39430-1

  • Online ISBN: 978-3-030-39431-8

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