A Color Reproduction Method for Exploring the Laser-Induced Color Gamut on Stainless Steel Surfaces Based on a Genetic Algorithm
Recently, laser-induced coloring of metal surfaces has emerged as a hot topic in the field of color manufacturing. In existing research, we have not been able to find a reliable method to swiftly acquire all the color ranges achievable with current materials. This limitation hinders further research...
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2024-12-01
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| author | Xiao Qin Zhishuang Xue Xueqiang Wang Kun Song Xiaoxia Wan |
| author_facet | Xiao Qin Zhishuang Xue Xueqiang Wang Kun Song Xiaoxia Wan |
| author_sort | Xiao Qin |
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| description | Recently, laser-induced coloring of metal surfaces has emerged as a hot topic in the field of color manufacturing. In existing research, we have not been able to find a reliable method to swiftly acquire all the color ranges achievable with current materials. This limitation hinders further research and application of laser-induced metal coloring, making it challenging to scientifically and effectively reproduce colors in images. In this study, we introduced a genetic algorithm tailored for predicting the maximization of color gamut area. By employing an elitist strategy for genetic selection and predicting the maximum color gamut among a multi-objective optimization parameter population, we successfully explored the color gamut of stainless steel. The color gamut <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>S</mi></mrow></semantics></math></inline-formula> converged to 0.0022, offering a rapid and efficient approach for color gamut exploration. Building on this, we devised a comprehensive image color reproduction process and developed an image color gamut mapping toolkit and an image vectorization toolkit. These tools are designed for color separation, color gamut mapping, and vectorization of target images, enabling successful color reproduction through laser-induced coloring. Additionally, we conducted a color difference analysis experiment using 2 mm 304 stainless steel, demonstrating that material thickness can mitigate color cast issues in laser-induced coloring. The color difference (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="sans-serif">Δ</mi><mi>E</mi></mrow></semantics></math></inline-formula>) values in the color reproduction experiment were 2.18, 2.97, and 2.72, respectively, indicating the reliability of image color reproduction on stainless steel surfaces. This research addresses the challenge of color gamut exploration in laser-induced coloring, presenting a novel solution for color reproduction via laser-induced coloring on metal surfaces, and holds promising applications. |
| format | Article |
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| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-dbfc8f437c0e46b083f72a2d6af690ff2025-01-10T13:14:12ZengMDPI AGApplied Sciences2076-34172024-12-011512810.3390/app15010028A Color Reproduction Method for Exploring the Laser-Induced Color Gamut on Stainless Steel Surfaces Based on a Genetic AlgorithmXiao Qin0Zhishuang Xue1Xueqiang Wang2Kun Song3Xiaoxia Wan4ColorLab, School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, ChinaColorLab, School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, ChinaColorLab, School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, ChinaColorLab, School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, ChinaColorLab, School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, ChinaRecently, laser-induced coloring of metal surfaces has emerged as a hot topic in the field of color manufacturing. In existing research, we have not been able to find a reliable method to swiftly acquire all the color ranges achievable with current materials. This limitation hinders further research and application of laser-induced metal coloring, making it challenging to scientifically and effectively reproduce colors in images. In this study, we introduced a genetic algorithm tailored for predicting the maximization of color gamut area. By employing an elitist strategy for genetic selection and predicting the maximum color gamut among a multi-objective optimization parameter population, we successfully explored the color gamut of stainless steel. The color gamut <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>S</mi></mrow></semantics></math></inline-formula> converged to 0.0022, offering a rapid and efficient approach for color gamut exploration. Building on this, we devised a comprehensive image color reproduction process and developed an image color gamut mapping toolkit and an image vectorization toolkit. These tools are designed for color separation, color gamut mapping, and vectorization of target images, enabling successful color reproduction through laser-induced coloring. Additionally, we conducted a color difference analysis experiment using 2 mm 304 stainless steel, demonstrating that material thickness can mitigate color cast issues in laser-induced coloring. The color difference (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="sans-serif">Δ</mi><mi>E</mi></mrow></semantics></math></inline-formula>) values in the color reproduction experiment were 2.18, 2.97, and 2.72, respectively, indicating the reliability of image color reproduction on stainless steel surfaces. This research addresses the challenge of color gamut exploration in laser-induced coloring, presenting a novel solution for color reproduction via laser-induced coloring on metal surfaces, and holds promising applications.https://www.mdpi.com/2076-3417/15/1/28laser-induced coloringstainless steelcolor reproductiongamut explorationgenetic algorithmcolor difference |
| spellingShingle | Xiao Qin Zhishuang Xue Xueqiang Wang Kun Song Xiaoxia Wan A Color Reproduction Method for Exploring the Laser-Induced Color Gamut on Stainless Steel Surfaces Based on a Genetic Algorithm Applied Sciences laser-induced coloring stainless steel color reproduction gamut exploration genetic algorithm color difference |
| title | A Color Reproduction Method for Exploring the Laser-Induced Color Gamut on Stainless Steel Surfaces Based on a Genetic Algorithm |
| title_full | A Color Reproduction Method for Exploring the Laser-Induced Color Gamut on Stainless Steel Surfaces Based on a Genetic Algorithm |
| title_fullStr | A Color Reproduction Method for Exploring the Laser-Induced Color Gamut on Stainless Steel Surfaces Based on a Genetic Algorithm |
| title_full_unstemmed | A Color Reproduction Method for Exploring the Laser-Induced Color Gamut on Stainless Steel Surfaces Based on a Genetic Algorithm |
| title_short | A Color Reproduction Method for Exploring the Laser-Induced Color Gamut on Stainless Steel Surfaces Based on a Genetic Algorithm |
| title_sort | color reproduction method for exploring the laser induced color gamut on stainless steel surfaces based on a genetic algorithm |
| topic | laser-induced coloring stainless steel color reproduction gamut exploration genetic algorithm color difference |
| url | https://www.mdpi.com/2076-3417/15/1/28 |
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