Dullrazor®:: A software approach to hair removal from images
Dullrazor®:: A software approach to hair removal from images
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DOI：
10.1016/s0010-4825(97)00020-6
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发表时间：
1997-11-01
影响因子：
7.7
通讯作者：
McLean, D
中科院分区：
文献类型：
--
作者：
Lee, T;Ng, V;McLean, D
最近，有越来越多的研究应用图像处理技术来分析黑素细胞病变的非典型性和可能的恶性以及全身葡萄胎标测。然而，这种损伤可能会被体毛部分遮盖。这些研究都没有完全解决人类毛发遮挡成像损伤的问题。在我们之前的研究中，我们设计了一个自动分割程序来区分皮肤病变和正常的健康皮肤，并了解到该程序对大多数图像都表现得很好，除了那些覆盖部分病变的毛发，特别是深色厚毛的图像。这些浓密的黑发混淆了程序，导致分割结果不令人满意。在本文中，我们提出了一种使用我们称为DullRazor(R)的预处理程序来去除图像中毛发的方法。这一前处理步骤使得分割程序能够获得满意的结果。DullRazor(R)可作为共享软件从http://www.derm.ubc.ca.下载(C)1997年爱思唯尔科学有限公司。
Recently, there has been a growing number of studies applying image processing techniques to analyze melanocytic lesions for atypia and possible malignancy and for total-body mole mapping. However, such lesions can be partially obscured by body hairs. None of these studies has fully addressed the problem of human hairs occluding the imaged lesions. In our previous study we designed an automatic segmentation program to differentiate skin lesions from the normal healthy skin, and learned that the program performed well with most of the images, the exception being those with hairs, especially dark thick hairs, covering part of the lesions. These thick dark hairs confused the program, resulting in unsatisfactory segmentation results. In this paper, we present a method to remove hairs from an image using a pre-processing program we have called DullRazor(R). This pre-processing step enables the segmentation program to achieve satisfactory results. DullRazor(R) can be downloaded as shareware from http://www.derm.ubc.ca. (C) 1997 Elsevier Science Ltd.