Title :
Simulation of optical skin lesion images
Author :
She, Zhishun ; Fish, P.J. ; Duller, A.W.G.
Author_Institution :
Sch. of Informatics, Univ. of Wales, Bangor, UK
Abstract :
Black-white and colour skin/lesion images are synthesised with known characteristics such as boundary, skin pattern and colour. The skin and lesion textures are modelled by the auto-regressive (AR) process. Black-white skin lesion images are obtained by combining black-white skin and lesion textures under control of known lesion shape and colour skin lesion images are generated by mixing the coloured skin and lesion textures. Artefact images of skin hair and specular reflection are then added. The synthesised images provide the image set for evaluating image processing algorithms.
Keywords :
biomedical optical imaging; image texture; light reflection; medical image processing; skin; artefact images; autoregressive process; black-white skin lesion images; image processing algorithms evaluation; image set; lesion textures; medical diagnostic imaging; optical skin lesion images simulation; skin hair; specular reflection; synthesised images; Filters; Hair; Image generation; Image processing; Large-scale systems; Lesions; Optical mixing; Optical reflection; Shape control; Skin;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1017358