Welcome to Scholar Publishing Group

International Journal of Art Innovation and Development, 2022, 3(2); doi: 10.38007/IJAID.2022.030203.

Research Progress of Digital Image Processing Technology Based on Peacock Image in the Field of Textile and Clothing

Author(s)

Huijuan Lai

Corresponding Author:
Huijuan Lai
Affiliation(s)

School of Architecture and Design, Jiangxi University of Science and Technology, Jiangxi, China

Abstract

With the continuous development of society, the technology to get along with each other has been widely used in many fields, including: medical care, geographic information management, office automation, etc. As far as the current situation is concerned, the automation of textile technology has been further developed. Computer image processing technology has been widely used in the textile industry inspection work. It has many advantages, so it is necessary to further strengthen this research. Based on the research on the digital image processing technology of peacock image in the field of textiles and clothing, this paper has developed a detailed research plan based on the research of clothing style recognition and the difficulties and points of clothing style recognition based on the problems in the current research. It mainly includes the establishment of clothing image sample library, image preprocessing, contour feature extraction, classification and result analysis. The experimental data show that because clothing materials mostly exist in the form of images, using existing digital image processing technology and pattern recognition technology to process clothing image can realize the recognition of clothing styles. The experimental results show that using Fourier descriptors to extract the shape features of clothing contours and perform SVM classification and recognition can achieve more than 95% accuracy, and the contour curvature feature points can reach 100% accuracy. Therefore, in the field of clothing, its application range should be expanded, and the detection technology based on image processing runs through the entire process of clothing production.

Keywords

Peacock Image, Digital Image Processing, Technology, Image Preprocessing, Shape of Clothing Outline

Cite This Paper

Huijuan Lai. Research Progress of Digital Image Processing Technology Based on Peacock Image in the Field of Textile and Clothing. International Journal of Art Innovation and Development (2022), Vol. 3, Issue 2: 20-32. https://doi.org/10.38007/IJAID.2022.030203.

References

[1] Katalin Zsuzsanna Szabó, Gyozo Jordan, Attila Petrik, Ákos Horváth, & Csaba Szabó. (2016) “Spatial Analysis of Ambient Gamma Dose Equivalent Rate Data by Means of Digital Image Processing Techniques”, J Environ Radioact, 166(Pt 2), pp.309-320. https://doi.org/10.1016/j.jenvrad.2016.07.013

[2] Chunlei Li, Ruimin Yang, Zhoufeng Liu, Guangshuai Gao, & Qiuli Liu. (2016) “Fabric Defect Detection Via Learned Dictionary-Based Visual Saliency”, International Journal of Clothing Science & Technology, 28(4),pp. 530-542. https://doi.org/10.1108/IJCST-12-2015-0134

[3] Abdul Rahaman Wahab Sait , Irina Pustokhina , M. (2019). Ilayaraja, Modeling of Multiple Share Creation with Optimal Signcryption Technique for Digital Image Security, Journal of Intelligent Systems and Internet of Things, 0(1), pp. 26-36

[4] Yang Zheng, Chen Zhu, Long Ma, Pengfei Shao, & Lixin Hua. (2016) “Mirna-154-5p Inhibits Proliferation, Migration and Invasion by Targeting e2f5 in Prostate Cancer Cell Lines”, Urologia Internationalis, 98(1), pp.65-74. https://doi.org/10.1159/000445252

[5] Caoyuan Li, Gangyi Ding, Dakui Wang, Yan Li, & Shuliang Wang. (2016) “Clustering by Fast Search and Find of Density Peaks with Data Field ”, Chinese Journal of Electronics, 25(3), pp.397-402. https://doi.org/10.1049/cje.2016.05.001

[6] X Xu, Karami, B. , & Shahsavari, D. (2021). Time-dependent behavior of porous curved nanobeam. International Journal of Engineering Science, 160, 103455. https://doi.org/10.1016/j.ijengsci.2021.103455

[7] Jabbar Abed Eleiwy , Nagham Jaafar, (2021). Novel Filter of DWT for Image Processing Applications, Fusion: Practice and Applications, 4(2), pp. 32-41. https://doi.org/10.54216/FPA.040205

[8] S. V. Belim, & S. B. Larionov. (2016) “An Algorithm of Image Segmentation Based on Community Detection in Graphs”, Computer Optics, 40(6), pp.904-910. https://doi.org/10.18287/2412-6179-2016-40-6-904-910

[9] Tao Gui, Terence H. Chan, Chao Lu, Alan Pak Tao Lau, & P. K. A. Wai. (2017) “Alternative Decoding Methods for Optical Communications Based on Nonlinear Fourier Transform”, Journal of Lightwave Technology, PP(99), pp.1-1. https://doi.org/10.1109/JLT.2017.2654493

[10] Jiangting Li, Shaofei Yang, Lixin Guo, & Mingjian Cheng. (2016) “Anisotropic Power Spectrum of Refractive-Index Fluctuation in Hypersonic Turbulence”, Applied Optics, 55(32), pp.9137-9144. https://doi.org/10.1364/AO.55.009137

[11] María T Cortés Tomás, José A Giménez Costa, Patricia Motos-Sellés, M.D.S. Beitia, & Fernando Cadaveira Mahía. (2017) “The Utility of the Alcohol Use Disorders Identification Test (audit) For the Analysis of Bnge Drinking in University Students”, Psicothema, 29(2), pp.229-235.

[12] Daksh Khetan , Arun Nawani , Anshul Aggarwal , Ms. Surinder Kaur, (2022). Driver Drowsiness Detection in Real-time, Fusion: Practice and Applications, 7(2), pp. 91-99. https://doi.org/10.54216/FPA.070203

[13] K. A. Fletcher, B. G. Maegraith, & Rawewan Jarumilinta. (2016) “Electron Microscope Studies of Trophozoites of Entamoeba Histolytica”, Annals of Tropical Medicine & Parasitology, 56(4), pp.496-499. https://doi.org/10.1080/00034983.1962.11686152

[14] Ahmed Sidibba, Diene Ndiaye, Menny El Bah, & Sidi Bouhamady. (2018) “Analytical modeling and determination of the characteristic parameters of the different commercial technologies of photovoltaic modules. Journal of Power & Energy Engineering, 06(3), 14-27. https://doi.org/10.4236/jpee.2018.63002

[15] Ngoc Minh Chau, Nguyen Thi Lan, Nguyen Xuan Thao, (2020). A New Similarity Measure of Picture Fuzzy Sets And Application in pattern recognition, American Journal of Business and Operations Research, 1(1), pp. 5-18. https://doi.org/10.54216/AJBOR.010101

[16] Y. Zhang, W. Zheng, J. Ni, T.-T. Xie, & Z.-X. Tang. (2017) “Evaluation of Partial Characteristics of the Strain Enterococcus Faecalis p3 Isolated from Peacock Feces in Vitro”, Kuwait Journal of Science, 44(1), pp.91-98.

[17] Simon Mair, Angela Druckman, & Tim Jackson. (2016) “Global Inequities and Emissions in Western European Textiles and Clothing Consumption”, Journal of Cleaner Production, 2016(132), pp.57-69. https://doi.org/10.1016/j.jclepro.2015.08.082