纺织学报 ›› 2022, Vol. 43 ›› Issue (11): 119-126.doi: 10.13475/j.fzxb.20210903408

• 染整与化学品 • 上一篇    下一篇

基于心理物理学实验的非荧光织物白度公式评价

杨红英1(), 齐梦园1,2, 杨志晖1, 杨艳丽1, 张靖晶1, 谢宛姿3   

  1. 1.中原工学院 纺织学院, 河南 郑州 450007
    2.青岛大学 纺织服装学院, 山东 青岛 266100
    3.江南大学 纺织科学与工程学院, 江苏 无锡 214122
  • 收稿日期:2021-09-10 修回日期:2022-08-26 出版日期:2022-11-15 发布日期:2022-12-26
  • 作者简介:杨红英(1970—),女,教授,博士。主要研究方向为纺织色彩学、数字化与智能化纺织技术。E-mail:webyhy@163.com
  • 基金资助:
    中原工学院交叉学科团队支持计划项目(中工研[2018]13号)

Whiteness formulae evaluation of non-fluorescent fabrics by psychophysical experiments

YANG Hongying1(), QI Mengyuan1,2, YANG Zhihui1, YANG Yanli1, ZHANG Jingjing1, XIE Wanzi3   

  1. 1. College of Textile, Zhongyuan University of Technology, Zhengzhou, Henan 450007, China
    2. College of Textile & Clothing, Qingdao University, Qingdao, Shandong 266100, China
    3. College of Textile Science and Engineering, Jiangnan University, Wuxi, Jiangsu 214122, China
  • Received:2021-09-10 Revised:2022-08-26 Published:2022-11-15 Online:2022-12-26

摘要:

为给非荧光纺织品白度评价优选出最接近人眼色觉的白度公式,采用白色辨识实验从自制非荧光织物中挑出白色样品,再分别挑选28个和85个样品开展成对比较法和类别判定法2种心理物理学实验,处理1万余个视觉评价数据,与9个白度公式的计算白度值作对比和统计分析,综合评价白度公式的预测性能。结果显示:以成对比较法评价白度公式时,亨特2(Hunter2)白度公式效果最好;以类别判定法评价白度公式时,Hunter2白度公式依然最好;2种评价方法结果一致,对于本文所用非荧光织物,原适用于评价荧光织物的Hunter2白度公式与人眼色觉的一致性最优。

关键词: 非荧光织物, 白度公式, 视觉评价, 成对比较法, 类别判定法

Abstract:

In order to choose the whiteness formula that is closest to human perception for non-fluorescent textile whiteness evaluation, 9 whiteness formulae were studied. White samples were selected from self-made non-fluorescent fabrics using white discrimination visual evaluation, and then 28 and 85 samples were selected to carry out 2 psychophysical experiments of pairwise comparison method and category determination method respectively. More than 10,000 visual evaluation data were processed for comparing and evaluating the predictive performance of the 9 whiteness formulae. Results show that when the whiteness formulae were evaluated by the pairwise comparison method and the category judgment method, Hunter2 formula performed the best for both cases. Therefore, for the non-fluorescent fabrics in this study, the Hunter2 whiteness formula originally designed for evaluating fluorescent fabrics is in the best agreement with the visual perception of human eyes.

Key words: non-fluorescent fabric, whiteness formula, visual evaluation, pairwise comparison method, category determination method

中图分类号: 

  • TS197

图1

染色工艺曲线"

图2

心理物理学实验用白色样品在色度图中的分布"

表1

类别判定法中9级量表描述"

类别得分 英文描述 中文定义
1 least imaginable 最小程度的
2 very little mildly 很微小程度的
3 mildly 较小程度的
4 moderately 一般的
5 medially 中等的
6 moderately highly 一定程度的
7 mildly highly 较大程度的
8 very highly 很大程度的
9 highest imaginable 最大程度的

表2

成对比较法观察者精度"

指标 误判率WD/%
最大值 最小值 平均值
准确度 10 7 8
重复性 11 5 7

表3

成对比较法视觉实验的频数矩阵"

编号 1 2 3 4 5 6 28
1 8 0 0 0 10 0
2 16 0 0 0 8 0
3 24 24 0 16 24 0
? ? ? ? ? ? ? ? ?
28 24 24 24 0 24 24 0

表4

成对比较法视觉实验中所得z-score矩阵按升序排列"

编号 26 25 4 24 14 1
1 -2.47 -2.47 -2.47 -2.47 -2.47 0
2 -2.47 -2.47 -2.47 -2.47 -2.47 0.43
3 -2.47 -2.47 -2.47 -2.47 -2.47 2.47
? ? ? ? ? ? ? ?
28 -2.47 -2.47 -2.47 -2.47 -2.47 2.47
平均值 -2.24 -1.93 -1.69 -1.64 -1.55 2.12
等级 1 2 3 4 5 28

表5

成对比较法中各样品与26号样品的视觉白度差"

编号 d(1-26) d(2-26) d(3-26) d(4-26) d(28-26)
Δviv26 4.36 4.30 2.99 0.55 1.86

图3

28个非荧光样品的视觉白度差ΔV"

表6

类别判定法样品视觉白度差"

编号 1 2 3 4 5 85
白度值 8.82 2.25 22.43 -15.36 38.70 35.33

表7

成对比较法检验白度公式的预测性能"

公式 r WD/% ρ STRESS 总排序
WHunter1 0.313(8) 39.7(7) 0.272(8) 74.83(8) 31(8)
WHunter2 0.93(1) 10.9(1) 0.922(1) 18.96(1) 4(1)
WGanz 0.868(5) 14.6(3) 0.864(4) 26.12(4) 16(4)
WGrum 0.912(2) 14.6(3) 0.880(3) 21.56(2) 10(2)
WCIE10 0.91(3) 12.4(2) 0.904(2) 21.58(3) 10(2)
WUchida 0.881(4) 16.4(4) 0.862(5) 28.71(5) 18(5)
WC/V -0.015(9) 57.9(8) -0.242(9) 94.64(9) 35(9)
WUV 0.721(6) 23.8(6) 0.729(7) 59.96(6) 25(6)
WLAB 0.684(7) 23.3(5) 0.73(6) 66.06(7) 25(6)

表8

成对比较法对比白度公式的预测性能(F检验)"

白度公式 WHunter1 WHunter2 WGanz WGrum WCIE10 WUchida WC/V WUV WLAB
WHunter1 0.06* 0.12* 0.08* 0.08* 0.15* 1.6 0.64 0.78
WHunter2 15.58* 1.9 1.29 1.3 2.29* 24.92* 10.00* 12.14*
WGanz 8.21* 0.53 0.68 0.68 1.21 13.13* 5.27* 6.40*
WGrum 12.05* 0.77 1.47 1 1.77 19.27* 7.73 9.39*
WCIE10 12.02* 0.77 1.47 1 1.77 19.23* 7.72 9.37*
WUchida 6.79* 0.44* 0.83 0.56 0.56 10.87* 4.36* 5.29*
WC/V 0.63 0.04* 0.08* 0.05* 0.05* 0.09* 0.40* 0.49*
Wuv 1.56 0.10* 0.19* 0.13* 0.13* 0.23* 2.49* 1.21
WLAB 1.28 0.08* 0.16* 0.11* 0.11* 0.19* 2.05* 0.82

表9

类别判定法评价白度公式的预测性能"

指标 WHunter1 WHunter2 WGanz WGrum WCIE10 WUchida WC/V WUV WLAB
r 0.419(8) 0.949(1) 0.914(4) 0.921(3) 0.943(2) 0.848(5) 0.028(9) 0.587(6) 0.562(7)
ρ 0.379(8) 0.951(1) 0.921(3) 0.868(4) 0.941(2) 0.857(5) -0.064(9) 0.657(7) 0.674(6)
总排序 16(8) 2(1) 7(3) 7(3) 4(2) 10(5) 18(9) 13(6) 13(6)

图4

成对比较法中28个样品的视觉白度差ΔV与计算白度差ΔW的比较"

图5

类别判定法85个样品的视觉白度差ΔV与计算白度差ΔW的比较"

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