Engineering and Technology
| Open Access |
DOI: An Effective Method for Detecting and Removing Hair Artifacts in Dermoscopic Images
Gulmirzaeva Guzal , Tashkent University of Information Technologies named after Muhammad al-Khwarizmi, Tashkent, Uzbekistan Rajabov Jamshid , Karakalpak State University, Nukus, UzbekistanAbstract
Hair artifacts in dermoscopic images distort the boundaries of skin lesions, alter texture features, and reduce the accuracy of automatic segmentation and classification systems. In this paper, a method based on morphological Black-hat filtering, probabilistic Hough transform, and local median interpolation is proposed to remove hair artifacts from dermoscopic images. The proposed method is computationally simple and CPU-efficient, and it was evaluated using PSNR and SSIM metrics. Experimental results show that this method improves the visual quality of dermoscopic images, removes hair artifacts while preserving important diagnostic features of the dermoscopic image, and is a suitable preprocessing method for the next segmentation step.
Keywords
Dermoscopic image, hair artifact, Black-hat
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