A new extraction method of underglaze brown decorative pattern based on the coupling of single scale gamma correction and gray sharpening

In order to solve the problem of image quality and morphological characteristics of primary underglaze brown decorative pattern extraction, this paper proposes a method of primary underglaze brown decorative pattern extraction based on the coupling of single scale gamma correction and gray sharpening. The single-scale gamma correction is combined with the gray sharpening method. The single-scale gamma correction improves the contrast and brightness of the image by nonlinear transformation, but may lead to the loss of image detail. Gray sharpening can enhance the high frequency component and improve the clarity of the image, but it will introduce noise. Combining these two technologies can compensate for their shortcomings. The experimental results show that this method can improve the efficiency of last element underglaze brown decorative pattern extraction by enhancing the image retention detail and reducing the influence of noise. The experimental results showed that F1Score, Miou(%), Recall, Precision and Accuracy(%) were 0.92745, 0.82253, 0.97942, 0.92458 and 0.92745, respectively.

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Publication Details

Journal
PLoS ONE
Published
2024-08-29
DOI
https://doi.org/10.1371/journal.pone.0305118
Primary Topic
Image Enhancement Techniques
Type
article
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article

A new extraction method of underglaze brown decorative pattern based on the coupling of single scale gamma correction and gray sharpening

Yu Jiang, Rumeng Zhang, Rui Xue, Tao Fang et al.
PLoS ONE
Image Enhancement Techniques
article

A new extraction method of underglaze brown decorative pattern based on the coupling of single scale gamma correction and gray sharpening

Yu Jiang, Rumeng Zhang, Rui Xue, Tao Fang, Dashu Qin
article en

Abstract

In order to solve the problem of image quality and morphological characteristics of primary underglaze brown decorative pattern extraction, this paper proposes a method of primary underglaze brown decorative pattern extraction based on the coupling of single scale gamma correction and gray sharpening. The single-scale gamma correction is combined with the gray sharpening method. The single-scale gamma correction improves the contrast and brightness of the image by nonlinear transformation, but may lead to the loss of image detail. Gray sharpening can enhance the high frequency component and improve the clarity of the image, but it will introduce noise. Combining these two technologies can compensate for their shortcomings. The experimental results show that this method can improve the efficiency of last element underglaze brown decorative pattern extraction by enhancing the image retention detail and reducing the influence of noise. The experimental results showed that F1Score, Miou(%), Recall, Precision and Accuracy(%) were 0.92745, 0.82253, 0.97942, 0.92458 and 0.92745, respectively.

PLoS ONEVol. 19(8)
Jingdezhen Ceramic Institute (CN), Hangzhou City University
Openalex Percentile: Top 87%
Image Enhancement Techniques
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