This paper shows that adding 3D depth information to RGB colour images improves segmentation of pigmented and non-pigmented skin lesion. A region-based active contour segmentation approach using a statistical model based on the level-set framework is presented. We consider what kinds of properties (e.g., colour, depth, texture) are most discriminative. The experiments show that our proposed method integrating chromatic and geometric information produces segmentation results for pigmented lesions close to dermatologists and more consistent and accurate results for non-pigmented lesions.
|Title of host publication||Medical Image Computing and Computer-Assisted Intervention ? MICCAI 2009|
|Subtitle of host publication||12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II|
|Editors||Guang-Zhong Yang, David Hawkes, Daniel Rueckert, Alison Noble, Chris Taylor|
|Number of pages||8|
|Publication status||Published - 2009|
|Name||Lecture Notes in Computer Science|
|Publisher||Springer Berlin / Heidelberg|