Automated Detection of Facial Disorders (ADFD): a novel approach based-on digital photographs. Issue 6 (2nd November 2018)

• Record Type: Journal Article
• Authors: Goceri, Evgin; Gunay, Melih
• Is Part Of: Computer methods in biomechanics and biomedical engineering. Volume 6:Issue 6(2018)
• Page Start: 607
• Page End: 617
• Publication Date: 2018-11-02
• Subjects: Facial fever -- facial disorders -- image segmentation -- level sets; Imaging systems in biology -- Periodicals; Imaging systems in medicine -- Periodicals; Biomechanics -- Data processing -- Periodicals; Biomedical engineering -- Periodicals; 616.0757
• DOI: 10.1080/21681163.2017.1317292
• Languages: English
• ISSNs: 2168-1163

Abstract

ABSTRACT: Abnormal regions on a face are often indicative of facial dermatological diseases, such as rosacea, eczema, allergy, burn injury, facial rash and acne. Identification and quantitative evaluation of these facial disorders is often subjective and currently done by expert dermatologists. However, with the advances in image processing techniques, it is now possible to consistently identify, classify and objectively quantify facial skin disorders using digital photographs. Furthermore, digital photographs can be used to assess progression of the diseases by applying time-series analysis on infected (abnormal) facial regions of the photograph. In this paper, we propose a novel real-time approach for detection and segmentation of abnormal facial regions. Experimental results showed that the proposed method is efficient for segmentation of abnormal regions, which were caused by facial fever or disease, from digital photographs in terms of accuracy and required processing time.