[1]管雪梅,吴马超*,李文峰,等. 基于粒子群优化Friele模型木材染色配色算法研究[J].西北林学院学报,2020,35(6):244-248.[doi:10.3969/j.issn.1001-7461.2020.06.34]
　GUAN Xue-mei,WU Ma-chao*,LI Wen-feng,et al. Wood Staining and Color Matching Algorithm Based on Particle Swarm Optimization Friele Model[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2020,35(6):244-248.[doi:10.3969/j.issn.1001-7461.2020.06.34]
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 基于粒子群优化Friele模型木材染色配色算法研究()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第35卷
期数:
2020年第6期
页码:
244-248
栏目:
出版日期:
2020-11-30

文章信息/Info

Title:
 Wood Staining and Color Matching Algorithm Based on Particle Swarm Optimization Friele Model
文章编号:
1001-7461(2020)06-0244-05
作者:
 管雪梅; 吴马超*; 李文峰; 黄青龙
 （东北林业大学 机电工程学院，黑龙江 哈尔滨 150040）
Author(s):
 GUAN Xue-mei; WU Ma-chao*; LI Wen-feng; HUANG Qing-long
 (College of Machinery Electricity,Northeast Forestry University,Harbin 150040,Heilongjiang,China)
关键词:
 ; 粒子群算法; Friele算法; 反射率曲线; 拟合色差
Keywords:
 ; particle swarm optimization algorithm;  Friele algorithm;  reflectivity curve;  fitting the color difference
分类号:
TP399
DOI:
10.3969/j.issn.1001-7461.2020.06.34
文献标志码:
A
摘要:
 为提高木材染色计算机智能配色的准确性和实用性，选择水曲柳单板为染色材，基于Friele模型为基础，对模型参数进行循环赋值计算出最优参数值和预测配方，利用粒子群优化Friele模型预测其拟合配方与拟合反射率，并根据基于人眼的CIEDE2000色差评价标准公式计算色差，比较2种方法的预测配方和光谱反射率得出，当模型参数固定时，平均拟合色差为0.820 2，优化模型后，平均拟合色差为0.728 7。基于粒子群优化Friele模型进行参数循环赋值相比较固定模型参数对木材配色效果有显著提高。
Abstract:
 To improve the accuracy and practicability of the wood dyeing computer intelligent color application,Fraxinus mandshurica veneer was selected as stained subject.Based on the Friele model,the model parameters were cyclically assigned to calculate the optimal parameter value and prediction formula.The particle swarm optimization Friele model was used to predict its fitting formula and fitting reflectance.According to the human eye based CIEDE2000 color difference evaluation standard formula,the color difference was calculated,and the prediction formula and spectral reflectance of the two methods were compared.When the model parameters were fixed,the average fitted color difference was 0.820 2.After optimizing the model,the average fitted color difference was 0.728 7.Compared with fixed model parameters,the circular parameter assignment of the Friele model based on particle swarm optimization significantly improved the effect of wood color matching.

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备注/Memo

备注/Memo:
 收稿日期：2019-12-23修回日期：2020-01-06
基金项目：哈尔滨创新人才研究基金（2013RBFQXJ138）；中央大学基础研究基金（2572015CB11）。
作者简介：管雪梅，副教授，博士，硕士生导师。研究方向：木材染色计算机智能配色。E-mail:gxm_maomao1980@163.com
*通信作者：吴马超，硕士在读。研究方向：木材染色计算机智能配色。E-mail：2714835459@qq.com
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