Lesion border detection in Buruli ulcer images.
Lesion border detection in Buruli ulcer images.
复制标题
布鲁里溃疡图像中的病变边界检测。
DOI：
10.1109/embc.2012.6347210
复制
发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Zouridakis,George
中科院分区：
文献类型：
--
作者：
Hu,Rui;Queen,CourtneyM;Zouridakis,George
布鲁里溃疡是一种由溃疡分枝杆菌感染引起的疾病，是最被忽视但可治疗的热带疾病之一。本文提出了一种新的分割方案，以检测布鲁里病变的边界交叉偏振皮肤镜图像下获得的白色光照明。该方法包括三个主要步骤：首先，在不同的颜色空间阈值分割融合形成一个初始轮廓，然后水平集分割的亮度和颜色分量的图像，最后，每个像素的决策是由支持向量机分类器。26幅图像的实验结果表明，该方法优于其他国家的最先进的布鲁里图像分割方法。
Buruli ulcer, a disease caused by infection with Mycobacterium ulcerans, is one of the most neglected but treatable tropical diseases. In this paper, a novel segmentation scheme is proposed to detect the border of Buruli lesions in cross-polarization dermoscopic images that were obtained under white light illumination. The method consists of three main steps: first, segmentations in different color spaces by thresholding are fused to form an initial contour, then a level set segmentation is applied to both the luminance and color components of the image, and finally, decisions for each pixel are made by a support vector machine classifier. Experimental results with 26 images show that the proposed methodology outperforms other state-of-art segmentation approaches for Buruli images.