Skin pigmentation detection and assessment

Skin pigmentation detection and assessment

This thesis presents a region-based pigmentation detection method. The key of this method is to use Independent Component Analysis (ICA) in color space to extract melanin and hemoglobin layers from one single RGB face skin image. Large region pigmentations and small region pigmentations are detected...

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Bibliographic Details
Main Author: Lu, Haisheng
Other Authors: Alex Chichung KOT
Format: Thesis-Master by Coursework
Language:English
Published: Nanyang Technological University 2021
Subjects:
Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:https://hdl.handle.net/10356/151845
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Institution: Nanyang Technological University
Language: English
Description
Summary:This thesis presents a region-based pigmentation detection method. The key of this method is to use Independent Component Analysis (ICA) in color space to extract melanin and hemoglobin layers from one single RGB face skin image. Large region pigmentations and small region pigmentations are detected separately and reduce the influence of shading and reflection areas on the face images effectively. The proposed method can more accurately detect the pigmentations compared with most of the existing methods. Based on this convincing result, a uniform pigmentation severity index is proposed to assess the severity of the pigmentation on the face.

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