Removal of artifacts from dermatoscopic images

Alina Sultana, I. Dumitrache, Mihai Vocurek, M. Ciuc
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引用次数: 17

Abstract

Dermoscopy is the primary tool used for pigmented skin lesion diagnosis. Despite the use of this relative new clinical method dermoscopy based, diagnose is still subjective and the diagnosis detection accuracy is about 75-80%. In this paper we present several enhancement pre-processing techniques applied on dermatoscopic images, such as black frame removal and hair removal in an automatically manner. We have tested our algorithms on 45 dermoscopic images and compared the automated enhancement methods results with other existing methods.
去除皮肤镜图像中的伪影
皮肤镜检查是诊断色素性皮肤病变的主要工具。尽管采用这种相对较新的临床方法以皮肤镜检查为主,但诊断仍具有主观性,诊断检测准确率约为75-80%。本文介绍了几种应用于皮肤镜图像的增强预处理技术,如黑帧去除和毛发自动去除。我们已经在45张皮肤镜图像上测试了我们的算法,并将自动增强方法的结果与其他现有方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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