皮肤红斑彩色图像分割的降维方法研究

Study of Segmenting Skin Erythema Images by Reducing Dimensions of Color Space

论文通过在HSV色彩空间分析皮肤红斑彩色图像的颜色分布特征,提出了适用于皮肤红斑彩色图像分割的一维特征参量,并将该特征参量用于模糊c均值聚类算法,对红斑彩色图像进行了分割实验。实验结果表明,与用其它特征参量的图像分割实验相比,使用该特征参量可以提高分割速度和分割正确率。

In this paper,a characteristic parameter of one dimension applied to the segmentation of skin erythema color images has been proposed based on analyzing the color distribution of some typical erythema images in hsv color space,and used in experiments of segmenting erythema images with fuzzy c means algorithm.The result show that utilizing the feature parameter,compared with utilizing other feature parameters,can improve segmentation speed and segmentation effect.