Camouflage Assessments with Digital Pattern Painting Based on the Multi-Scale Pattern-in-Picture Evaluation Model

Jia, Qi; Xu, Weidong; Yi, Yang; Liu, Jun; Hu, Jianghua; Zhu, Liyan; Yang, Xin

Camouflage Assessments with Digital Pattern Painting Based on the Multi-Scale Pattern-in-Picture Evaluation Model

Fibres & Textiles in Eastern Europe

Volume 31 (2023): Issue 2 (July 2023)

By:

Qi Jia, Weidong Xu, Yang Yi, Jun Liu, Jianghua Hu, Liyan Zhu and Xin Yang

Open Access

|Jul 2023

Figures & Tables

Picture taken by the digital camera at an equivalent observation distance of 10 m

Observation effects from different distances

Simulation effect of group 1 in four images of mottled woodland backgrounds

Designed pattern painting on background images for effect simulations

User interface of a system constructed for the simulation and evaluation of individual digital camouflages

Patterns in pictures displayed on the projection screen

Degrees of feature similarities of 15 schemes

Group	Scheme	Characteristic similarity degree					Sorted within groups
Group	Scheme	Background a	Background b	Background c	Background d	Average	Sorted within groups
1	A	0.6003	0.6038	0.7056	0.6045	0.6285	3
	B	0.5983	0.6018	0.7008	0.6021	0.6258	4
	C	0.6108	0.6145	0.7247	0.6155	0.6414	2
	D	0.6273	0.6315	0.7529	0.6324	0.6610	1
	E	0.5928	0.5961	0.6914	0.5966	0.6192	5
2	F	0.5855	0.5886	0.6770	0.5888	0.6100	4
	G	0.5863	0.5894	0.6786	0.5896	0.6110	3
	H	0.6062	0.6099	0.7149	0.6102	0.6353	1
	I	0.5966	0.5999	0.6986	0.6006	0.6239	2
	J	0.5803	0.5833	0.6671	0.5834	0.6035	5
3	K	0.5865	0.5897	0.6788	0.5899	0.6112	5
	L	0.5956	0.5990	0.6957	0.5992	0.6224	3
	M	0.5963	0.5998	0.6970	0.6000	0.6233	2
	N	0.6182	0.6222	0.7363	0.6227	0.6498	1
	O	0.5871	0.5903	0.6799	0.5905	0.6119	4

Degrees of feature similarities of the six optimal schemes

Group	1		2		3
Scheme	C	D	H	I	M	N
Average characteristic similarity degree	0.5183	0.5206	0.5210	0.5183	0.5180	0.5197
Sorted	4	2	1	4	5	3

Color reproduction accuracy with color checkers

Number	1	2	3	4	5	6	7	8	9	10	11	12	Average	Standard deviation
Testing	6.23	17.53	15.18	4.59	7.61	12.79	16.50	12.13	15.01	16.21	15.09	13.31	12.68	4.28
Color checker	1.01	8.95	8.32	3.02	4.78	7.32	8.09	7.36	8.37	6.31	7.21	6.17	6.41	2.38

Comparison of results of degrees of feature similarities and simulation evaluations

Group	Scheme	Characteristic similarity degree model		Simulation evaluation
Group	Scheme	Similarity degree	Sorted within groups	Score	Sorted within groups
1	A	0.6285	3	3.3105	4
	B	0.6258	4	3.3318	3
	C	0.6414	2	3.4793	2
	D	0.6610	1	3.5263	1
	E	0.6192	5	3.1132	5
2	F	0.6100	4	3.1433	5
	G	0.6110	3	3.2694	4
	H	0.6353	1	3.5639	1
	I	0.6239	2	3.4241	2
	J	0.6035	5	3.2930	3
3	K	0.6112	5	3.2245	4
	L	0.6224	3	3.2985	3
	M	0.6233	2	3.3419	2
	N	0.6498	1	3.4961	1
	O	0.6119	4	3.1932	5

Ratio of color difference reduction

Number	1	2	3	4	5	6	7	8	9	10	11	12	Max.	Min.	Average
Color checker	83.79	48.94	45.19	34.20	37.19	42.77	50.97	39.32	44.24	61.07	52.22	53.64	83.79	34.20	49.46

Color values of the samples

Sample number	Sample	CIE 1976 Lab*
Sample number	Sample	L*	a*	b*
1	Black	29.23	0.17	−1.57
2	Gray	46.39	−0.36	−3.68
3	Light white	64.52	0.67	1.65
4	Black green	31.92	−1.94	3.03
5	Dark green	34.97	−4.08	11.19
6	Green	43.89	−13.27	18.41
7	Yellow green	46.16	−3.38	27.62
8	Dark brown	42.08	5.37	15.19
9	Red brown	44.67	14.29	25.70
10	Brown	45.18	9.79	22.83
11	Clay	54.63	17.39	25.67
12	Ocher	55.49	13.54	42.32

“Soldier” sizes and their corresponding simulation boxes from different distances

Distance / m	10	20	30	40	50	60	70	80	90	100
Size / pixels	185×556	93×278	62×186	46×139	37×111	31×93	27×80	23×70	21×62	19×56
Box / pixels	130×476	65×238	43×159	33×119	26×95	22×79	19×68	16×60	14×53	13×48

DOI: https://doi.org/10.2478/ftee-2023-0014 | Journal eISSN: 2300-7354 | Journal ISSN: 1230-3666

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Language: English

Page range: 39 - 50

Published on: Jul 4, 2023

Published by: Łukasiewicz Research Network, Institute of Biopolymers and Chemical Fibres

In partnership with: Paradigm Publishing Services

Publication frequency: 6 times per year

Keywords:

computer-aided,

camouflage assessment,

Related subjects:

Business and economics,

Business management,

Business informatics,

Process management,

Industrial chemistry,

Cellulose, paper and textiles,

Polymer science and technology,

Materials sciences,

Biomaterials and natural materials

© 2023 Qi Jia, Weidong Xu, Yang Yi, Jun Liu, Jianghua Hu, Liyan Zhu, Xin Yang, published by Łukasiewicz Research Network, Institute of Biopolymers and Chemical Fibres
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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Camouflage Assessments with Digital Pattern Painting Based on the Multi-Scale Pattern-in-Picture Evaluation Model

Figures & Tables

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Degrees of feature similarities of 15 schemes

Degrees of feature similarities of the six optimal schemes

Color reproduction accuracy with color checkers

Comparison of results of degrees of feature similarities and simulation evaluations

Ratio of color difference reduction

Color values of the samples

“Soldier” sizes and their corresponding simulation boxes from different distances

Paradigm

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