TY  - JOUR
AV  - none
SP  - 694
TI  - Markov-Gibbs random field modeling of 3D skin surface textures for haptic applications
N1  - cited By 1; Conference of International Conference on Computational Science and its Applications, ICCSA 2007 ; Conference Date: 26 August 2007 Through 29 August 2007; Conference Code:71037
PB  - Springer Verlag
SN  - 03029743
EP  - 705
CY  - Kuala Lumpur
ID  - scholars275
KW  - Dermatology; Pixels
KW  -  Gibbs random field; Markov random field; Skin texture; Texture modeling
KW  -  Markov processes
N2  - The 3D surface textures of skin are important for both visual and tactile inspection. The information of surface textures can aid the inclusion of haptic technology in tele-dermatology as well as enhance the effectiveness of current 2D based applications. This work aims to analyse and model surface textures of skin including diseased skin. For this purpose the multiple pairwise pixel interaction model of Markov-Gibbs Random Field (MGRF) has been used. Surface textures are in the form of 3D mesh which are converted to 2D height maps and modeled as grayscale textures. The results demonstrate that homogenous stochastic textures of skin can be modeled successfully. The successfully modeled textures represent the surface irregularities on scale of 0.1 mm which can create the tactile perception of roughness for skin in haptic applications. © Springer-Verlag Berlin Heidelberg 2007.
IS  - PART 2
Y1  - 2007///
VL  - 4706 L
A1  - Nazr-e-Batool
A1  - Hani, A.F.M.
A1  - Yap, V.V.
JF  - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-38049184251&doi=10.1007%2f978-3-540-74477-1_63&partnerID=40&md5=91c0b07232a34a7d4b045ade7eb1d8f2
ER  -