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Sarah Cheang. Selling China: Class, Gender and Orientalism at the Department Store. Journal of Design History 2007,20(1),1–16.CheangSarahSelling China: Class, Gender and Orientalism at the Department StoreJournal of Design History200720111610.4324/9781315084220-7Search in Google Scholar
X. Li, H. Jiang, K. Nam. Adaptation in cultural industry under conservation pressure: case study of two Chinese embroidery clusters. International Journal of Cultural Policy 2020,26(2),202–222.LiX.JiangH.NamK.Adaptation in cultural industry under conservation pressure: case study of two Chinese embroidery clustersInternational Journal of Cultural Policy202026220222210.1080/10286632.2018.1486826Search in Google Scholar
H. L. Yu, C. Kim, J. Lee, N. Hong. An analysis of modern fashion designs as influenced by Asian ethnic dress. International Journal of Consumer Studies 2001,25(4), 309–321.YuH. L.KimC.LeeJ.HongN.An analysis of modern fashion designs as influenced by Asian ethnic dressInternational Journal of Consumer Studies200125430932110.1046/j.1470-6431.2001.00200.xSearch in Google Scholar
Hong Jung Min, Kim Young Sin. A Study on Miao Traditional Costume of Guizhou Province in China (II)- Focused on Woman's Costume in Miao People in Taijiang. Fashion & Textile Research Journal 2001,3(2),115–123.HongJung MinKimYoung SinA Study on Miao Traditional Costume of Guizhou Province in China (II)- Focused on Woman's Costume in Miao People in TaijiangFashion & Textile Research Journal200132115123Search in Google Scholar
J. H. Xin, H. Shen, C. Lam. Investigation of texture effect on visual colour difference evaluation. Color Research and Application 2005, 30(5), 341–347.XinJ. H.ShenH.LamC.Investigation of texture effect on visual colour difference evaluationColor Research and Application200530534134710.1002/col.20138Search in Google Scholar
S. Gorji Kandi, M. Amani Tehran, M. Rahmati. New method for obtaining proper initial clusters to perform FCM algorithm for colour image clustering. Journal of the Textile Institute 2009,100(3),237–244.KandiS. GorjiTehranM. AmaniRahmatiM.New method for obtaining proper initial clusters to perform FCM algorithm for colour image clusteringJournal of the Textile Institute2009100323724410.1080/00405000701757545Search in Google Scholar
C. J. Kuo, B. Jian, C. Tung, H. Wu, Automatic machine embroidery image color analysis system, part II: Application of the genetic algorithm in search of a repetitive pattern image. Textile Research Journal 2012, 82(11), 1099–1106.KuoC. J.JianB.TungC.WuH.Automatic machine embroidery image color analysis system, part II: Application of the genetic algorithm in search of a repetitive pattern imageTextile Research Journal201282111099110610.1177/0040517512438130Search in Google Scholar
J. Zhang, B. Xin, C. Shen, H. Fang, Y. Cao. Novel colour clustering method for interlaced multi-colored dyed yarn woven fabrics. Fibres and Textiles in Eastern Europe 2015, 23(111), 107–114.ZhangJ.XinB.ShenC.FangH.CaoY.Novel colour clustering method for interlaced multi-colored dyed yarn woven fabricsFibres and Textiles in Eastern Europe20152311110711410.5604/12303666.1152535Search in Google Scholar
D. Zheng. A new method for automatic separation of fabric color. Textile Research Journal 2014,85(14), 1520–1538.ZhengD.A new method for automatic separation of fabric colorTextile Research Journal201485141520153810.1177/0040517514561920Search in Google Scholar
Le Xing, Jie Zhang, Hui'e Liang & Zhongjian Li. Intelligent inspection of dominant colors for Chinese traditional folk Yunjian. Journal of Textile Research 2017,38(11), 110–115.XingLeZhangJieLiangHui'eLiZhongjianIntelligent inspection of dominant colors for Chinese traditional folk YunjianJournal of Textile Research20173811110115Search in Google Scholar
C. Kumah, N. Zhang, R. K. Raji, R. Pan. Color measurement of segmented printed fabric patterns in lab color space from RGB digital images. Journal of Textile Science and Technology 2019,05(1),1–18.KumahC.ZhangN.RajiR. K.PanR.Color measurement of segmented printed fabric patterns in lab color space from RGB digital imagesJournal of Textile Science and Technology201905111810.4236/jtst.2019.51001Search in Google Scholar
A Singh L, Huang H, Bordoloi S, et al. Exploring simple K-means clustering algorithm for automating segregation of colors in leaf of Axonopus compressus: Towards maintenance of an urban landscape. Journal of Intelligent and Fuzzy Systems 2020, 40(6),1–25.Singh LAHuangHBordoloiSExploring simple K-means clustering algorithm for automating segregation of colors in leaf of Axonopus compressus: Towards maintenance of an urban landscapeJournal of Intelligent and Fuzzy Systems202040612510.3233/JIFS-201542Search in Google Scholar
Kalbasi M, Nikmehr H. Noise-Robust, Reconfigurable Canny Edge Detection and its Hardware Realization. IEEE Access 2020, PP (99),1–1.KalbasiMNikmehrHNoise-Robust, Reconfigurable Canny Edge Detection and its Hardware RealizationIEEE Access2020PP991110.1109/ACCESS.2020.2976860Search in Google Scholar
A. AN, A. Kuerban. Edge extraction method of color carpet pattern. Computer Engineering and Applications 2012,24(48), 172–176.ANA.KuerbanA.Edge extraction method of color carpet patternComputer Engineering and Applications20122448172176Search in Google Scholar
H. Zhang. Research on segmentation algorithm of textile printing and dyeing image based on computer technology. Printing and Dyeing Auxiliaries 2018,8(35), 58–60.ZhangH.Research on segmentation algorithm of textile printing and dyeing image based on computer technologyPrinting and Dyeing Auxiliaries20188355860Search in Google Scholar
Sun Bo. Extraction of printed fabric pattern contour based on Canny edge detection method. Printing and Dyeing Auxiliaries 2018,35(7), 31–33.BoSunExtraction of printed fabric pattern contour based on Canny edge detection methodPrinting and Dyeing Auxiliaries20183573133Search in Google Scholar
Daoling Chen, Pengpeng Cheng, A method to extract batik fabric pattern and elements. The Journal of The Textile Institute 2020,112(7),1–7.ChenDaolingChengPengpengA method to extract batik fabric pattern and elementsThe Journal of The Textile Institute202011271710.1080/00405000.2020.1802885Search in Google Scholar
Sundani D, Widiyanto S, Karyanti Y, et al. Identification of Image Edge Using Quantum Canny Edge Detection Algorithm. Journal of ICT Research and Applications 2019, 13(2),133–144.SundaniDWidiyantoSKaryantiYIdentification of Image Edge Using Quantum Canny Edge Detection AlgorithmJournal of ICT Research and Applications201913213314410.5614/itbj.ict.res.appl.2019.13.2.4Search in Google Scholar
Hussain MA, Sheikh-Akbari A, Mporas I. Colour Constancy for Image of Non-Uniformly Lit Scenes. Sensors (Basel) 2019,19(10),2242.HussainMASheikh-AkbariAMporasIColour Constancy for Image of Non-Uniformly Lit ScenesSensors (Basel)20191910224210.1109/IST.2018.8577093Search in Google Scholar
Hou SM, Jia CL, et al. A Study on Weak Edge Detection of COVID-19's CT Images Based on Histogram Equalization and Improved Canny Algorithm. Computational and Mathematical methods in medicine 2021, 28(10),1–13.HouSMJiaCLA Study on Weak Edge Detection of COVID-19's CT Images Based on Histogram Equalization and Improved Canny AlgorithmComputational and Mathematical methods in medicine2021281011310.1155/2021/5208940856852934745326Search in Google Scholar
Mautz D, Ye W, Plant C, et al. Non-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeans. ACM Transactions on Knowledge Discovery from Data 2020, 14(5),1–24.MautzDYeWPlantCNon-Redundant Subspace Clusterings with Nr-Kmeans and Nr-DipMeansACM Transactions on Knowledge Discovery from Data202014512410.1145/3385652Search in Google Scholar
Zhao, Y. P., and X. L. Zhou. K-means Clustering Algorithm and Its Improvement Research. Journal of Physics Conference Series 2021,1873(1),1–5.ZhaoY. P.ZhouX. L.K-means Clustering Algorithm and Its Improvement ResearchJournal of Physics Conference Series2021187311510.1088/1742-6596/1873/1/012074Search in Google Scholar
Arthur D, Vassilvitskii S. k-Means ++: The advantages of carefull seeding. Proceedings of the Eighteenth Annual ACM-SIAM Symposiumon Discrete algorithms. Society for Industrial and Applied Mathematics 2007, 11(6),1027–1035.ArthurDVassilvitskiiSk-Means ++: The advantages of carefull seeding. Proceedings of the Eighteenth Annual ACM-SIAM Symposiumon Discrete algorithmsSociety for Industrial and Applied Mathematics200711610271035Search in Google Scholar
Canny J. A computational approach to edge detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 1986,8(6),679–698.CannyJA computational approach to edge detectionIEEE Transactions on Pattern Analysis and Machine Intelligence19868667969810.1016/B978-0-08-051581-6.50024-6Search in Google Scholar
Jun Xiang, Jie Zhang, Ruru Pan, Yaobin Han, Jidong Zhang, Weidong Gao. Graphic contour extraction for printed fabric based on texture smoothing. Journal of Textile Research 2017,38(11), 162–167.XiangJunZhangJiePanRuruHanYaobinZhangJidongGaoWeidongGraphic contour extraction for printed fabric based on texture smoothingJournal of Textile Research20173811162167Search in Google Scholar