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Research Articles

A novel image recognition using Fuzzy C-Means and content-based fabric image retrieval

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Pages 395-407 | Received 17 Oct 2022, Accepted 16 Feb 2023, Published online: 30 Mar 2023

References

  • http://economictimes.indiatimes.com/industry/services/retail/indias-e-commerce-market-expected-to-cross-rs-2-lakh-crore-in-2016-iamai/articleshow/52638082.cms.
  • Chen YC, Sastry CS, Patel VM, et al. In-plane rotation and scale invariant clustering using dictionaries. IEEE Trans Image Process. 2013;22(6):2166–2180.
  • Mairal J, Sapiro M, Sapiro G. Sparse representation for color image restoration. IEEE Trans Image Process. 2008;17(1):53–68.
  • Bruckstein AM, Donoho DL, Elad M. From sparse solutions of systems of equations to sparse modeling of signals and images. SIAM Rev. 2007;51(1):34–81.
  • Elad M, Aharon M. Image denoising via sparse and redundant representations over learned dictionaries. IEEE Trans Image Process. 2006;15(12):3736–3745.
  • Aharon M, Elad M, Bruckstein A. The K-SVD: An algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans Signal Process. 2006;54(11):4311–4322.
  • Bryt O, Elad M. Compression of facial images using the K-SVD algorithm. J Vis Commun Image Represent. 2008;19(4):270–282.
  • Zhang Q, Li B. Discriminative k-svd for dictionary learning in face recognition. Proceedings of IEEE conference on computer vision and pattern recognition; 2010, pp. 2691–2698.
  • Engan K, Aase S, Hakon-Husoy J. Method of optimal directions for frame design). Proceedings of IEEE international conference on acoustics, speech, signal processing; 1999, 5, pp. 2443–2446.
  • Mallat S, Zhang Z. Matching pursuits with time-frequency dictionaries. IEEE Trans. Signal Process. 1993;41(12):3397–3415.
  • Arora C, Vijayarajan V, Padmapriya R. Content-based image retrieval for textile dataset and classification of fabric type using SVM. In: Satapathy S, Bhateja V, Nguyen B, et al., editors. Frontiers in intelligent computing: theory and applications. Advances in intelligent systems and computing, Vol. 1014. Singapore: Springer; 2020. p. 304–314.
  • Kumar M, Chhabra P, Garg NK. An efficient content-based image retrieval system using BayesNet and K-NN. Multimed Tools Appl. 2018;77(16):21557–21570.
  • Gupta S, Kumar M, Garg A. Improved object recognition results using SIFT and ORB feature detectors. Multimed Tools Appl. 2019;78(23):34157–34171.
  • Sinaga KP, Yang MS. Unsupervised K-means clustering algorithm. IEEE Access. 2020;8:80716–80727.
  • Rauf MA, Jehanzeb M, Ullah U, et al. Fabric weave pattern recognition and classification by machine learning). 2022 2nd international conference of smart systems and emerging technologies (SMARTTECH) (pp. 54-59); 2022; IEEE.
  • Nurhaida I, Noviyanto A, Manurung R, et al. Automatic Indonesian batik pattern recognition using SIFT approach. Procedia Comput Sci. 2015;59:567–576.
  • Sharif U, Mehmood Z, Mahmood T, et al. Scene analysis and search using local features and support vector machine for effective content-based image retrieval. Artif Intell Rev. 2019;52(2):901–925.
  • Sundara Vadivel P, Yuvaraj D, Navaneetha Krishnan S, et al. An efficient CBIR system based on color histogram, edge, and texture features. Concurrency Comput: Pract Experience. 2019;31(12):e4994.
  • Elsheh MM, Eltomi SA. Content-based image retrieval using color histogram and discrete cosine transform. Int J Comput Trends Technol. 2019;19(9):25–31.
  • Gao F, Lin J, Liu H, et al. A novel VBM framework of fiber recognition based on image segmentation and DCNN. IEEE Trans Instrum Meas. 2019;69(4):963–973.
  • Xiang J, Zhang N, Pan R, et al. Fabric image retrieval system using hierarchical search based on a deep convolutional neural network. IEEE Access. 2019;7:35405–35417.
  • Wang X, Wu G, Zhong Y. Fabric identification using convolutional neural network. International conference on artificial intelligence on textile and apparel (pp. 93-100); 2018; Springer, Cham.
  • Deng D, Wang R, Wu H, et al. Learning deep similarity models with focus ranking for fabric image retrieval. Image Vis Comput. 2018;70:11–20.
  • Luo J, Lu K, Chen Y, et al. Automatic identification of cashmere and wool fibers based on microscopic visual features and residual network model. Micron. 2021;143:103023.
  • Wang XY, Niu PP, Yang HY. A new robust color image watermarking using local quaternion exponent moments. Inform Sci. 2014;277:731–754.
  • Francisco S, Margarita H, Amelia P. Static digits recognition using rotational signatures and Hu moments with a multilayer perception. Engineering. 2014;6:692–698.
  • Guo LQ, Dai M, Zhu M. Quaternion moment and its invariants for color object classification. Inform Sci. 2014;273:132–143.
  • Zhang WG, Liu CX, Wang ZJ. Web video thumbnail recommendation with content-aware analysis and query-sensitive matching. Multimed Tool Appl. 2014;73:547–571.
  • Ohi AQ, Mridha MF, Hamid MA, et al. Fabricant: a fiber recognition architecture using ensemble convnets. IEEE Access. 2021;9:13224–13236.
  • Peng Y, Li L, Liu S, et al. Weighted constraint-based dictionary learning for image classification. Pattern Recognit Lett. 2020;130:99–106.
  • http://www.textures.com/browse/lace-trims/23436.
  • Jing J, Li Q, Li P, et al. A new method of printed fabric image retrieval based on color moments and gist feature description. Text Res J. 2016;86(11):1137–1150.
  • Mufarroha FA, Anamisa DR, Hapsani AG. Content-based image retrieval using two-color feature extraction. Journal of physics: conference series (Vol. 1569, No. 3, p. 032072); 2020; IOP Publishing.
  • Abdullah MN, Shukran MAM, Isa MRM, et al. Colour features extraction techniques and approaches for content-based image retrieval (CBIR) system. J Mater Sci Chem Eng. 2021;9(7):29–34.
  • Rashno A, Rashno E. Content-based image retrieval system with the most relevant features among wavelet and color features. arXiv Preprint ArXiv:1902.02059. 2019: 1–18. DOI:10.48550/arXiv.1902.02059
  • Bani NT, Fekri-Ershad S. Content-based image retrieval is based on the combination of texture and color information extracted in spatial and frequency domains. Electron Library. 2019;37(4):650–666.
  • Alsmadi MK. Content-based image retrieval using color, shape, and texture descriptors and features. Arab J Sci Eng. 2020;45(4):3317–3330.
  • Mishra A, Kasbe T. Color, Shape, and Texture based feature extraction for CBIR using PSO optimized SVM.

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