一种红外图像的二值化分割算法研究

摘要

Infrared image binary segmentation is the key to the infrared image analysis. And understanding of the quality of the image binary segmentation is directly related to the post-processing of the image. Combined with the characteristics of low contrast the poor resolution potential, low resolution of infrared image, a binary segmentation algorithm is proposed which is based on combination of local gray gradient threshold value and the face of a global one.%红外图像二值化分割是对红外图像进行分析和理解的关键，图像二值化分割的质量，直接关系到图像的后期处理，结合红外图像对比度低、分辨潜力差、分辨率低等自身特点，提出一种基于局部灰度梯度值和全局化阈值面相结合的二值化分割算法。