An Effective Hybrid Harris Hawk Optimization for Facial Skin Segmentation Under Varying Illumination

Fahmi Jafargholkhanloo, Ali; Shamsi, Mousa

doi:10.22124/cse.2023.24965.1059

Document Type : Original Article

Authors

¹ Faculty of Biomedical Engineering, Sahand University of Technology, Tabriz, Iran.

² Faculty of Biomedical Engineering, Sahand University of Technology, Tabriz, Iran

https://doi.org/10.22124/cse.2023.24965.1059

Abstract

The segmentation of facial color images is an essential step for facial analysis purposes such as face recognition, identification, and planning of facial reconstruction surgeries. The varying illumination has a notable effect on it. One of the applications of facial skin segmentation is contour extraction in the analysis of facial plastic surgeries, which is a challenging problem under varying illumination. Therefore, in this paper, a modified version of the Fuzzy c-Means (MFCM) algorithm with adding varying illumination parameter is presented to segment frontal and profile facial color images. MFCM algorithm is sensitive to the initial value and may cause this algorithm to fall in a local minimum. In this paper, to overcome the mentioned problems, we proposed a hybrid optimization method, which combines Grey Wolf Optimization (GWO) and Harris Hawk Optimization (HHO). The main goal of using GWO is to improve the exploration phase in HHO. Also, the same weight coefficient is used for all three alpha, beta, and delta wolves. The ranking of wolves for selecting these coefficients is not considered. To improve the location update, weight coefficient is updated based on the rank of each wolf. Experimental results demonstrate that the proposed algorithm has high efficiency and is robust to the varying illumination effect in the segmentation of facial color images. Also, it shows that the proposed algorithm has a suitable performance in facial skin segmentation compared to other image segmentation methods.

Keywords

References

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Computational Sciences and Engineering

An Effective Hybrid Harris Hawk Optimization for Facial Skin Segmentation Under Varying Illumination

References

References

Volume 3, Issue 1
April 2023
Pages 99-113

An Effective Hybrid Harris Hawk Optimization for Facial Skin Segmentation Under Varying Illumination

References

References

Volume 3, Issue 1April 2023Pages 99-113

Volume 3, Issue 1
April 2023
Pages 99-113