Techniques for a structural analysis of dermatoscopic imagery
Techniques for a structural analysis of dermatoscopic imagery
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DOI：
10.1016/s0895-6111(98)00048-2
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发表时间：
1998-09-01
影响因子：
5.7
通讯作者：
Dyer, CR
中科院分区：
文献类型：
--
作者：
Fleming, MG;Steger, C;Dyer, CR
开发了用于自动检测和表征皮肤镜结构的技术，包括色素网络和棕色小球。这些技术包括Steger开发的基于微分几何的灰度形状提取算法、snake算法以及Zhu和Yuille的区域竞争策略的修改。提出了一种基于稳定逆扩散方程的色素病变全局分割方法。在皮肤镜图像中检测气泡和毛发的程序也被报道。1998爱思唯尔科学有限公司版权所有。
Techniques were developed for automated detection and characterization of dermatoscopic structures, including the pigment network and brown globules. These techniques incorporate algorithms for grayscale shape extraction based on differential geometry developed by Steger, a snake algorithm, and a modification of the region competition strategy of Zhu and Yuille. A novel approach was developed for global segmentation of pigmented lesions, based on stabilized inverse diffusion equations. Procedures for detection of air bubbles and hairs in dermatoscopic images are also reported. (C) 1998 Elsevier Science Ltd. All rights reserved.