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Facial Spot Contour Extraction based on Color Image Processing

Published: 13 August 2019 Publication History

Abstract

In this paper we discuss the problem of automatic contour extraction of facial spot based on RGB images. Prior similar work has been frequently used for processing those hyperpigmentation skin conditions such as melasma and melanoma, where the separation between pigmented area and normal skin is easy to define. However the melanin under facial spots is normally deposited in a scatter way and distributed superficially, this makes the contrast between the area of spots and that of normal skin become small. As such it is difficult to directly extract the contour of the spots. After analyzing the individual three color channels of facial spot RGB skin image, we found that the blue channel provides the clearest edge of the spots, while the edge presents a certain amount of blur in the red channel. Therefore, this study proposed a new image processing strategy for facial spots analysis, i.e. to firstly separate the RGB channels to obtain the blue channel, then, the maximum entropy threshold segmentation and the Snake method are used to extract the contour of color spots. The experiments verified that the separated color channel and Snake-based method can help to reliably extract edge contours and preserve the color information of the spot.

References

[1]
Sun S. J., He l., Skin structural characteristics related to beauty [J]. Chinese Aesthetic Medicine, 2008,17(2):305--307.
[2]
British Association of Dermatologists, Skin cancer. <http://www.bad.org.uk/for-the-public/skin-cancer/>, 2014
[3]
Akbani R., Akdemir K. C., Aksoy B. A., et al. Genomic Classification of Cutaneous Melanoma[J]. Cell, 2015, 161(7):1681--1696.
[4]
Goldberg D. J., Photodynamic therapy in skin rejuvenation[J]. Clinics in Dermatology, 2008, 26(6):0--613.
[5]
2Nd B D, Alam M, Kim J Y. Injectable fillers for facial rejuvenation: a review[J]. J Plast Reconstr Aesthet Surg, 2009, 62(1):11--18.
[6]
Chang C Y, Liao H Y. Automatic facial spots and acnes detection system[J]. Journal of Cosmetics, Dermatological Sciences and Applications, 2013, 3(01): 28.
[7]
Chu Xia, Wu Xiao Ming, Huang Yue Shan. Research status of color spot detection image analysis system [J]. World Science and Technology Research and Development, 2008, 30(6):766--769.
[8]
Chu xia, wu xiaoming, huang yueshan. An algorithm for spot detection based on facial skin image [J]. Microcomputer Information, 2009, 25(21):249--251.
[9]
Xu Chao, Huang Fenghua, Mao Zhengyuan. An improved two-dimensional Otsu threshold segmentation algorithm [J]. Electronic Technology Applications, 2016, 42(12): 108--111
[10]
Kass M, Witkin A, Terzopoulos D. SnakeSnakeSnake: Active contour models[J]. International Journal of Computer Vision, 1988, 1(4):321--331.
[11]
Xu C, Prince J L. Snakesnakesnake, Shapes and gradient vector flow[J]. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 1998, 7(3):359--69.
[12]
Liu Y C, Chan W H, Chen Y Q. Automatic white balance for digital still camera[J]. IEEE Transactions on Consumer Electronics, 2004, 41(3):460--466.
[13]
Ebner M. A parallel algorithm for color constancy[J]. Journal of Parallel and Distributed Computing, 2004, 64(1):79--88.
[14]
G. D. Finlayson, B. Schiele, and J. L. Crowley. Comprehensive colour image normalization. In Fifth European Conference on Computer Vision (ECCV '98), 1998.
[15]
Oliveira R B, Filho M E, Ma Z, et al. Computational methods for the image segmentation of pigmented skin lesions: A review[J]. Computer Methods and Programs in Biomedicine, 2016, 131:127--141.
[16]
Ain Q U, Xue B, Al-Sahaf H, et al. Genetic programming for skin cancer detection in dermoscopic images[C]// 2017 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2017.
[17]
Santos H L M D, Fernandes B J T, Fernandes S M M. An AutoAssociative Neural Network for image segmentation[C]// 2016 IEEE Latin American Conference on Computational Intelligence (LA-CCI). IEEE, 2016.
[18]
B. Funt, K. Barnard, and L. Martin. Is colour constancy good enough? In Fifth European Conference on Computer Vision (ECCV '98), pages 445--459, 1998
[19]
K. J. Linnell and D. H. Foster. Space-average scene colour used to extract illuminant information. In C. Dickinson, I. Murray, and D. Carden, editors, John Dalton's Colour Vision Legacy. Selected Proceedings of the International Conference, pages 501--509, London, 1997. Taylor & Francis.
[20]
Yang Y. A new active contour tracking algorithm[J]. Chinese Journal of Computers, 1998.

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  • (2024)Advanced Pigmented Facial Skin Analysis Using Conditional Generative Adversarial NetworksIEEE Access10.1109/ACCESS.2024.338153512(46646-46656)Online publication date: 2024
  • (2021)Application of Fast Non-Local Means Algorithm for Noise Reduction Using Separable Color Channels in Light Microscopy ImagesInternational Journal of Environmental Research and Public Health10.3390/ijerph1806290318:6(2903)Online publication date: 12-Mar-2021

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  1. Facial Spot Contour Extraction based on Color Image Processing

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    ICBIP '19: Proceedings of the 4th International Conference on Biomedical Signal and Image Processing
    August 2019
    149 pages
    ISBN:9781450372244
    DOI:10.1145/3354031
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    • Graduate School of Library, Information, and Media Studies, University of Tsukuba, Japan: Graduate School of Library, Information, and Media Studies, University of Tsukuba, Japan
    • Sichuan University

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 13 August 2019

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    Author Tags

    1. Color image analysis
    2. Contour extraction
    3. Edge detection
    4. Snake algorithm
    5. White balance

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    • (2024)Advanced Pigmented Facial Skin Analysis Using Conditional Generative Adversarial NetworksIEEE Access10.1109/ACCESS.2024.338153512(46646-46656)Online publication date: 2024
    • (2021)Application of Fast Non-Local Means Algorithm for Noise Reduction Using Separable Color Channels in Light Microscopy ImagesInternational Journal of Environmental Research and Public Health10.3390/ijerph1806290318:6(2903)Online publication date: 12-Mar-2021

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