摘要
由于红外测量图像灰度分布极不均衡,采用传统的HSI空间(Hue Saturation Imensity,HSI)编码方法对红外测量图像进行伪彩色变换时,常常导致变换后的伪图像色彩仅仅局限于少数几种颜色.针对此问题,本文结合阈值分割理论,根据红外测量图像的灰度分布特性及图像处理要求,提出了一种基于HSI空间的红外测量图像伪彩色编码方法.实验结果表明:采用该方法编码的伪彩色图像色彩丰富,且方法具有较好的自适应性,易于实现.
Due to the severely unbalanced gray scales of infrared measurement images, the pseudo-color images generated by traditional HIS space coding are always confined to few colors. Combining threshold segmentation theory with the distribution of gray scale and requirements on image processing, this paper proposes a HIS-space-based pseudo-color coding method for infrared image to solve the above problem. The experimental results showed that the proposed method is fairly self-adaptive, easy to implement and the processed pseudo -color images are polychromic.
出处
《测试技术学报》
2012年第4期343-347,共5页
Journal of Test and Measurement Technology
关键词
测量图像
HSI空间
伪彩色编码
间值分割
灰度
measurement image
HSI space
pseudo-color coding
threshold segmentation
gray
