摘要
针对目标与背景有交叠的红外图像分割这一难题,首先对原始红外图像进行灰度形态学校正处理,然后利用模糊熵测度方法对校正后的红外图像进行分割,从而提出了一种综合利用灰度形态学与模糊熵的区域分割方法.与传统的阈值分割方法进行对比实验,结果表明,运用该方法得到的分割图像质量更好.
In order to have region segmentation to infrared image which maintain asymmetry backgrounds, an infrared image region segmentation approach by integration of gray morphology and fuzzy entropy is introduced. At first, gray morphology is used to adjust the origin images, and then the region segmentation based on fuzzy entropy is done. The experiment is conducted on various infrared images and the results show that the proposed approach has better performance than some classical segmentation methods based on threshold.
出处
《光电技术应用》
2007年第3期56-60,共5页
Electro-Optic Technology Application
关键词
红外图像
区域分割
灰度形态学
模糊熵
infrared image
region segmentation
gray morphology
fuzzy entropy
