摘要
在分析现有图像分割方法特点的基础上,针对最大类间方差法(Otsu法)易受图像直方图形状的限制以及分割效果不稳定等问题,提出一种火焰图像分割的综合方法,即利用HSI颜色空间参数对火焰图像建立彩色空间模型,根据火焰图像的S(饱和度)、H(颜色)等特征参数对图像进行预处理,以确定火焰疑似区域,再用最大类间方差法进行阈值分割.通过实例仿真,得到了轮廓清晰的分割图像.研究结果表明,该方法能够弥补最大类间方差法的局限性,可扩展该方法的适用范围.
Base on analyzing image segmentation methods now available, a method of flame image segmentation is put forward to solve gray - level histogram shape limit and unsteady segmentation effect of the Otsu method. It uses the Otsu method combined with the HSI color - space parameters. First, a color space model of flame image is built based on HSI color space parameter to preproeess the flame image by using Saturation （S-parameters）, hue （H parameters） of image features, then segment the flame image according to the threshold value with the Otsu. At last, a clear profile of segmented image can be obtained by simulation. The results show that this method can make up some shortcomings of the Otsu and widened its application range .
出处
《河南理工大学学报（自然科学版）》
CAS
2008年第1期17-20,27,共5页
Journal of Henan Polytechnic University（Natural Science）
基金
河南省科技攻关项目(0624460012)
