Lee T, Ng V, Gallagher R, Coldman A, McLean D
Cancer Control Research, British Columbia Cancer Agency, Vancouver, Canada.
Comput Biol Med. 1997 Nov;27(6):533-43. doi: 10.1016/s0010-4825(97)00020-6.
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. This pre-processing step enables the segmentation program to achieve satisfactory results. DullRazor can be downloaded as shareware from http:/(/)www.derm.ubc.ca.
最近，越来越多的研究将图像处理技术应用于分析黑素细胞病变的异型性和潜在恶性以及全身痣图谱。然而，此类病变可能会被体毛部分遮挡。这些研究均未充分解决人体毛发遮挡成像病变的问题。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与正常健康皮肤，并且了解到该程序在大多数图像上表现良好，但有毛发（尤其是深色粗毛发）覆盖部分病变的图像除外。这些粗黑毛发干扰了程序，导致分割结果不尽人意。在本文中，我们提出一种使用我们称为DullRazor的预处理程序从图像中去除毛发的方法。这一预处理步骤使分割程序能够获得令人满意的结果。DullRazor可作为共享软件从http:/(/)www.derm.ubc.ca下载。
