안드로이드 기반의 스마트폰을 활용한 백반증 피부 영상 분할

다국어 초록 (Multilingual Abstract)

In this study, the new color image processing algorithms with an android-based mobile device are developed to detect the abnormal color densities in a skin image and interpret them as the vitiligo lesions. Our proposed method is firstly based on transforming RGB data into HSI domain and segmenting the imag into the vitiligo-skin candidates by applying Otsu"s threshold algorithm. The structure elements for morphological image processing are suggested to delete the spurious regions in vitiligo regions and the image blob labeling algorithm is applied to compare RGB color densities of the abnormal skin region with them of a region of interest. Our suggested color image processing algorithms are implemented with an android-platform smartphone and thus a mobile device can be utilized to diagnose or monitor the patient"s skin conditions under the environments of pervasive healthcare services.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 본론
• 3. 결론
• References

참고문헌 (Reference)

1 A. Marshall, "Use of a Smartphone for Improved Self-Management of Pulmonary Rehabilitation" 2008 :

2 Yonny S. Izmantoko, "Time Complexity Measurement on CUDA-based GPU Parallel Architecture of Morphology Operation" 한국멀티미디어학회 16 (16): 444-452, 2013

3 G. Fabbrocini, "Teledermatology: From Prevention to Diagnosis of Nonmelanoma and Melanoma Skin Cancer" 2011 :

4 L. J. Haddock, "Simple, Intensive Technique for High-Quality Smartphone Funds Photography in Human and Animal Eyes" 2013 :

5 N. Otsu, "A Threshold Selection Method from Gray-Level Histograms" SMC-9 : 62-66, 1979

6 V. Vezhnevets, "A Survey on Pixel-Based Skin Color Detection Techniques" 85-92, 2003