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A color edge extraction method on color image

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Abstract

In the field of medical image recognition, industrial defect detection and other fields, because it is impossible to extract the edge of the color image directly, the recognition effect is poor. In order to extract the edge of the color image directly and retain the color information of the edge. This paper proposes a color image edge extraction method called function series. In this paper, the template threshold denoising method is used to denoise the input image. Then the key features of the input image are enhanced by using the image key feature enhancement function proposed in this paper. Then use the function series to extract the color features of the H, S, I space of the input image. The extracted color features are decomposed by eigenvalue decomposition, and the color information with larger eigenvalue is retained to enhance the color information of the edge. Finally, the edge of the target image with color information is obtained by the inverse transformation of the function series. The experimental results show that the correct edge recognition rate of this method is 92.09%. Moreover, this method can accurately extract the contour of the color image, and the color information is preserved completely. Compared with other methods, the correct recognition rate of this method is higher than that of the comparison method and can retain more abundant color information. The method proposed in this paper provides a new extraction method for color image edge extraction, which has certain practical value.

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Data availability

The datasets used and/or analysed during the current study available from the corresponding author on reasonable request.

The data set in this article is from the Pascal voc image database.

http://host.robots.ox.ac.uk/pascal/VOC/voc2012/index.html.

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Acknowledgements

This work is supported by Key Science and Technology Program of Henan Province (222102210084); Key Science and Technology Project of Henan Province University (23A413007), respectively.

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Authors and Affiliations

  1. School of Electrical and Information Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450002, China

    Qing E. Wu, Zhichao Song, Hu Chen, Yingbo Lu, Lintao Zhou & Xiaoliang Qian

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  1. Qing E. Wu
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  2. Zhichao Song
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  3. Hu Chen
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  4. Yingbo Lu
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  5. Lintao Zhou
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  6. Xiaoliang Qian
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Contributions

QingE Wu (First Author): Conceptualization, Methodology, Software, Investigation, Formal Analysis, Writing - Original Draft;

Zhichao Song: Data Curation, Writing - Original Draft; Formal Analysis;

Hu Chen: Visualization, Investigation;

Yingbo Lu: Resources, Supervision;

Lintao Zhou: Software, Validation.

Xiaoliang Qian: Visualization, Writing - Review & Editing.

Corresponding Author(QingE Wu):Conceptualization, Funding Acquisition, Resources, Supervision, Writing - Review & Editing.

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Correspondence to Qing E. Wu.

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Wu, Q.E., Song, Z., Chen, H. et al. A color edge extraction method on color image. Multimed Tools Appl 83, 25435–25460 (2024). https://doi.org/10.1007/s11042-023-16496-2

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