供稿: 高娜;董爱华 | 时间: 2019-05-05 | 次数: |
作者单位:河南理工大学电气工程及自动化学院;河南理工大学电气工程及自动化学院
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.
DOI:10.16186/j.cnki.1673-9787.2008.01.020
分类号:TP391.41
Study on the method of flame image segmentation in fire detection
Abstract: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 preprocess 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.