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Published on: May 5, 2011
An image-processing analysis of skin textures
1Physics Department, Politecnico di Torino, Torino, Italy.
Summary
This study introduces an image-processing technique for quantitative skin texture analysis. The method uses coherence length diagrams to identify skin features and locate defects, improving diagnostic accuracy.
Area of Science:
- Dermatology
- Image Processing
- Biomedical Engineering
Background:
- Human skin texture characterization is a recent application of image processing.
- Quantitative evaluation of skin features and defect localization are crucial in dermatology.
Purpose of the Study:
- To present an image-processing method for skin texture analysis.
- To demonstrate the benefits of this technique for quantitative skin feature evaluation and defect localization.
Main Methods:
- A statistical approach to image pattern recognition is proposed.
- Coherence length diagrams are generated from statistical calculations of grey-tone distributions.
Main Results:
- Grain size and anisotropy of skin textures were determined using coherence length diagrams.
- Defect localization maps were successfully generated.
Conclusions:
- Statistical parameters of grey-tone distribution enable various defect detection procedures.
- Comparing local coherence lengths with average values is a key step in defect detection.
- Clinical experience can guide the development of more sophisticated image processing techniques.
