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In vivo skin capacitive imaging analysis co-occurrence by using grey level matrix (GLCM)

Identifier --xiangouwei-572
Penulis / PengarangXiang Ou, Wei Pan, Perry Xiao
Kata Kunci Trans-dermal drug delivery Solvent penetration Feature vectors
Tanggal Publikasi02 Nov 2013
BahasaBahasa Indonesia
Abstrak / Deskripsi We present our latest work on in vivo skin capacitive imaging analysis by using grey level co-occurrence matrix (GLCM). The in vivo skin capacitive images were taken by a capacitance based fingerprint the sensor, skin capacitive images were then analysed by GLCM. Four different second GLCM feature vectors, angular moment (ASM), entropy (ENT), contrast (CON) and correlation the skin texture. The results (COR), are selected to describe show that angular second decreases moment increases as age increases, and entropy as age increases. The results also suggest entropy values that the angular second moment values and the reflect more about the skin texture, reflect whilst the contrast values and the correlation values more about the topically applied solvents. way to extract and analyse the skin texture information, The overall results shows that the GLCM is an effective which can potentially be a valuable reference for evaluating effects of medical and cosmetic treatments.

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