Age‐dependent skin texture analysis and evaluation using mobile camera image

Background/Purpose The aim of this study was to evaluate skin condition, expensive equipment is required, continuous skin care is difficult. Therefore, we obtain the skin image using mobile camera, and propose a new algorithm that easily and simply extracts skin features. Methods We analyze skin fea...

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Bibliographic Details
Published inSkin research and technology Vol. 24; no. 3; pp. 490 - 498
Main Authors Moon, C.‐I., Lee, O.
Format Journal Article
LanguageEnglish
Published England John Wiley & Sons, Inc 01.08.2018
Subjects
Adult
Algorithms
Cameras
Feature extraction
Ground truth
Hand
Humans
Image processing
Image Processing, Computer-Assisted
Image segmentation
Middle Aged
mobile camera image
Photography
quantitative evaluation
Similarity
Skin
Skin - diagnostic imaging
Skin Aging
skin texture analysis
Smartphone
watershed segmentation
Watersheds
Young Adult
skin texture analysis
watershed segmentation
similarity
quantitative evaluation
mobile camera image
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Summary:Background/Purpose The aim of this study was to evaluate skin condition, expensive equipment is required, continuous skin care is difficult. Therefore, we obtain the skin image using mobile camera, and propose a new algorithm that easily and simply extracts skin features. Methods We analyze skin features, extracting the wrinkle length, cell area, and the number of cells. To get accurate skin features, we obtain a new skin binary image, and apply Watershed segmentation to it. So, we improve the accuracy of skin analysis. Therefore, we compare and analyze the degree of matching distribution of wrinkles, the shape of the cell, etc., using similarity between the ground truth and the proposed algorithm result image. Results We extract skin surface features using a mobile camera image, and verify the change in skin features with age. Also, we demonstrate the superiority of the proposed algorithm through the similarity between the ground truth and proposed result image. Conclusion The proposed method in this study shows that the skin surface can be quantitatively evaluated by the similarity with ground truth. We also propose a method to diagnose and manage individual skin condition using a mobile camera in real life.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:0909-752X
1600-0846
DOI:10.1111/srt.12459