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International Journal of Frontiers in Sociology, 2021, 3(18); doi: 10.25236/IJFS.2021.031804.

Clothing Style Recognition Method Based on Digital Image Processing


Tianbao Wu

Corresponding Author:
Tianbao Wu

School of Information Science and Technology, Xiamen University Tan Kah Kee College, Zhangzhou 363105, China


The use of digital image processing technology to identify clothing styles from clothing images has broad application potential in clothing consumption analysis, auxiliary clothing design and identity recognition. In the current clothing style recognition field for feature extraction and classification of clothing contours, the main methods are extreme learning machine classification based on wavelet Fourier descriptor, and Euclidean distance classification based on fusion features. However, these methods also have some shortcomings. Currently, there is still no effective method to extract features and classify clothing contours. In order to solve this problem, this paper is based on the SVM classification method of Fourier contour description features. The contour curvature characteristic point in the figure can be described as the bending characteristic of the clothing contour curve, and its calculation is simple and intuitive, which improves the judgment effect of the similarity performance of the Hausdorff distance. This paper constructs a multi-resolution framework of the new image, uses edge detection algorithms to obtain the edges of each level of resolution image, and expands them into narrow edge bands, and combines the point distribution model with the edge narrow bands obtained by edge detection to perform multi-resolution image ASM search for. This paper proposes an image fusion algorithm based on algebraic multigrid and adaptive block. Because the coarse grid extracted by the algebraic multi-grid method can extract the detailed information of the image to a certain extent, the original image can be reconstructed from the grid data. Experimental research shows that from the overall recognition rate of various clothing styles, the Fourier descriptor has a high recognition rate for each clothing, and the stability of multiple experiments is also good.


Digital Image Processing, Clothing Style Recognition, Edge Extraction, Contour Curvature Feature Points

Cite This Paper

Tianbao Wu. Clothing Style Recognition Method Based on Digital Image Processing. International Journal of Frontiers in Sociology (2021), Vol. 3, Issue 18: 23-33. https://doi.org/10.25236/IJFS.2021.031804.


[1] Ma L. Research on distance education image correction based on digital image processing technology [J]. EURASIP Journal on Image and Video Processing, 2019, 2019(1):1-9.

[2] Malkani P, Asha K R, Sagar A, et al. A Review on Recently Developed Technologies for Weed Recognition and Herbicide Application based on Digital Image Processing [J]. International Journal of Current Microbiology and Applied Sciences, 2019, 8(12):589-597.

[3] Manikandan G, Kavitha K K. Analysis of Heart Vessel Segmentation Using Ant Colony Optimization Algorithm Based On Digital Image Processing [J]. INTERNATIONAL JOURNAL OF COMPUTER ENCES AND ENGINEERING, 2018, 6(12):189-197.

[4] Surendra K V N, Simha K R Y. Digital image analysis around isotropic points for photoelastic pattern recognition [J]. Optical Engineering, 2015, 54(8):81209-81201.

[5] Zou W , Wang J , Feng D D , et al. Fluorescence molecular tomographic image reconstruction based on reduced measurement data[J]. Optical Engineering, 2015, 54(7):073114.

[6] Cao F , Lin Y , Bai T , et al. Image rotation-elimination based on a retina-like sensor[J]. Optical Engineering, 2015, 54(12):123105.

[7] Yang J, Chen S. An online detection system for aggregate sizes and shapes based on digital image processing [J]. Mineralogy & Petrology, 2017, 111(1):1-10.

[8] Lu J , Xin L , Qian Z , et al. Rapid Detection of Scoliosis Based on Digital Image Processing[J]. Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation, 2019, 43(4):259-262.

[9] Wu Z, Huang Y, Wang L, et al. A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016, 39(2):209-226.

[10] Sugita K , Sekine M , Nishiyama M , et al. Image processing apparatus, image processing system, image processing method, and computer program product[J]. And Then Becomes A Constant Value after Time, 2018, 1(1):65-70 Vol.1.

[11] Kalaiselvi B, Raja D S, Abinethri R, et al. Identification of potato diseasebased on digital image processing technique and MATLAB [J]. International Journal of Pure and Applied Mathematics, 2018, 119(12):2611-2621.

[12] Tyukin A L, Priorov A L, Lebedev I M. Research and development of an indoor navigation system based on the digital processing of video images[J]. Pattern Recognition & Image Analysis, 2016, 26(1):221-230.

[13] Kim H , Ali J , Phuyal K , et al. Investigation of bacterial chemotaxis using a simple three-point microfluidic system[J]. Biochip Journal, 2015, 9(1):50-58.

[14] Xiang J , Dong T , Pan R , et al. Clothing Attribute Recognition Based on RCNN Framework using L-Softmax loss[J]. IEEE Access, 2020, PP (99):1-1.

[15] Yamaguchi K , Kiapour M H , Ortiz L E , et al. Retrieving Similar Styles to Parse Clothing[J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2015, 37(5):1028-40.

[16] Chen J C, Liu C F. Deep net architectures for visual-based clothing image recognition on large database [J]. Soft Computing, 2017, 21(11):1-17.

[17] Hidayati S C , You C W , Cheng W H , et al. Learning and Recognition of Clothing Genres From Full-Body Images[J]. IEEE Transactions on Cybernetics, 2018, 48(99):1647-1659.

[18] Halstead M A , Denman S , Sridharan S , et al. Multimodal clothing recognition for semantic search in unconstrained surveillance imagery[J]. Journal of visual communication & image representation, 2019, 58(JAN.): 439-452.

[19] Hadid A, Ghahramani M, Kellokumpu V, et al. Gait biometrics under spoofing attacks: an experimental investigation [J]. Journal of Electronic Imaging, 2015, 24(6):063022.

[20] Dondolo H B, Madinga N W. Consuming For Recognition: South African Youth Consumption Of Status Clothing [J]. Journal of Applied Business Research, 2017, 33(5):919-927.

[21] Das Choudhury S, Tjahjadi T. Clothing and carrying condition invariant gait recognition based on rotation forest [J]. Pattern Recognition Letters, 2016, 80(sep.1):1-7.

[22] Dondolo H B, Madinga N W. Consuming For Recognition: South African Youth Consumption Of Status Clothing [J]. Journal of Applied Business Research, 2017, 33(5):919.

[23] Choi J W, Whangbo T K, Kim C G. A contour tracking method of large motion object using optical flow and active contour model [J]. Multimedia Tools & Applications, 2015, 74(1):199-210.

[24] Choi J W, Whangbo T K, Kim C G. A contour tracking method of large motion object using optical flow and active contour model [J]. Multimedia Tools & Applications, 2015, 74(1):199-210.

[25] Liu Z, Yang J, Zhang L. Remote sensing image registration algorithm based on elliptic Fourier descriptor [J]. Guangdianzi Jiguang/Journal of Optoelectronics Laser, 2015, 26(2):352-359.