Evaluation Method of Fabric Color Difference Based on Saliency Algorithm and CIELAB Space

Xiuping Meng; Gongbing Su; Qiming Wu; Langjia Yuan

doi:10.3788/LOP55.053301

Journals >Laser & Optoelectronics Progress >Volume 55 >Issue 5 >Page 053301 > Article

Laser & Optoelectronics Progress
Vol. 55, Issue 5, 053301 (2018)

Evaluation Method of Fabric Color Difference Based on Saliency Algorithm and CIELAB Space

Xiuping Meng, Gongbing Su^*, Qiming Wu, and Langjia Yuan

Author Affiliations

College of Mechanical Engineering and Automation, Wuhan Textile University, Wuhan, Hubei 430073, China

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DOI: 10.3788/LOP55.053301 Cite this Article Set citation alerts

Xiuping Meng, Gongbing Su, Qiming Wu, Langjia Yuan. Evaluation Method of Fabric Color Difference Based on Saliency Algorithm and CIELAB Space[J]. Laser & Optoelectronics Progress, 2018, 55(5): 053301 Copy Citation Text

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Flow chart of evaluation method of fabric color difference based on saliency algorithm and CIELAB space integration. (a) Analysis of area and roundness of fabric texture clearance region; (b) preliminary color difference classification; (c) further color difference classification

Fig. 1. Flow chart of evaluation method of fabric color difference based on saliency algorithm and CIELAB space integration. (a) Analysis of area and roundness of fabric texture clearance region; (b) preliminary color difference classification; (c) further color difference classification

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Fig. 2. (a) Area and (b) roundness distribution of texture clearance region

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Fig. 3. Test results of image processing by algorithm. (a) Fabric image; (b) saliency map of fabric color difference; (c) binary image of fabric serious color difference; (d) binary image of fabric serious color difference beyond texture clearance region

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Colordifference	Colordifferencegrade	Colordifference	Colordifferencegrade
>11.85	1	2.16-3.05	3-4
8.41-11.85	1-2	1.27-2.15	4
5.96-8.40	2	0.20-1.26	4-5
4.21-5.95	2-3	<0.2	5
3.06-4.20	3

Table 1. Relationship between fabric color difference and color difference grade

Pixel ratio	Value
Pixel ratio	Tested hotpink fabric 2	Tested dodgerblue fabric 2	Tested violetred fabric 2
P₅	1%	1%	1.5%
P_4.5	36%	46%	74.5%
P₄	29%	41%	24%
P_3.5	22%	12%	0
P₃、P_2.5、P₂、P_1.5、P₁	0	0	0
Weighted sum	3.96	4.18	4.38
Comprehensivecolor differencegrade	4	4	4.5

Table 2. Result of further color difference classification

Testedfabric	Proposedmethod	Histogramcrossover algorithm	CIELABcolor space	Colorimeter	Expertevaluation
Tested hot pink fabric 1	1	2.5	3	1.5	1
Tested hot pink fabric 2	4	4	3	4.5	4
Tested dodger blue fabric 1	1	3.5	3.5	3	1.5
Tested dodger blue fabric 2	4	4	4	4.5	4.5
Tested violet red fabric 1	1	3	4.5	2	2
Tested violet red fabric 2	4.5	4	4	4.5	4.5
Mean error	0.3333	0.9167	1.4167	0.4167	-
Variance	0.1389	0.4514	0.6181	0.2847	-

Table 3. Result of fabric color difference classification

Xiuping Meng, Gongbing Su, Qiming Wu, Langjia Yuan. Evaluation Method of Fabric Color Difference Based on Saliency Algorithm and CIELAB Space[J]. Laser & Optoelectronics Progress, 2018, 55(5): 053301

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