TY - GEN
T1 - Spectropolarimetric imaging for skin characteristics analysis
AU - Zhao, Yongqiang
AU - Yang, Tieheng
AU - Wei, Peifeng
AU - Pan, Quan
PY - 2008
Y1 - 2008
N2 - Light scattering spectra and polarization states can provide important information about skin. To analyse the mechanisms of interaction between skin and light, and the relationship between the changes of light's characteristics and the variations of skin's states, a spectropolarimetric imaging system is proposed to acquire the spectral, polarimetric and spatial properties of the skin. After acquiring the spectropolarimetric imagery, an empirical line correction method is used to analyse the polarimetric spectra differences between normal skin and skin with a chicken pox scar. To enhance the visual difference between normal skin and skin with a chicken pox scar, and the polarimetric and spectral characteristics of the skin in different states, a false colour mapping based spectropolarimetric image fusion method is proposed that combines the intensity image, the degree of linearity of the polarization image, and the phase of the polarization image, with spectral imagery. We demonstrate experimentally that this imaging system can be used to discriminate between the different skin pathological conditions efficiently.
AB - Light scattering spectra and polarization states can provide important information about skin. To analyse the mechanisms of interaction between skin and light, and the relationship between the changes of light's characteristics and the variations of skin's states, a spectropolarimetric imaging system is proposed to acquire the spectral, polarimetric and spatial properties of the skin. After acquiring the spectropolarimetric imagery, an empirical line correction method is used to analyse the polarimetric spectra differences between normal skin and skin with a chicken pox scar. To enhance the visual difference between normal skin and skin with a chicken pox scar, and the polarimetric and spectral characteristics of the skin in different states, a false colour mapping based spectropolarimetric image fusion method is proposed that combines the intensity image, the degree of linearity of the polarization image, and the phase of the polarization image, with spectral imagery. We demonstrate experimentally that this imaging system can be used to discriminate between the different skin pathological conditions efficiently.
UR - http://www.scopus.com/inward/record.url?scp=45849127648&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-79490-5_39
DO - 10.1007/978-3-540-79490-5_39
M3 - 会议稿件
AN - SCOPUS:45849127648
SN - 3540794891
SN - 9783540794899
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 322
EP - 329
BT - Medical Imaging and Informatics - 2nd International Conference, MIMI 2007, Revised Selected Papers
T2 - 2nd International Conference on Medical Imaging and Informatics, MIMI 2007
Y2 - 14 August 2007 through 16 August 2007
ER -