FLIR Image Quality Assessment for Gray Scale Template Matching
Infrared image quality assessment plays an important role in FLIR. In this paper, infrared image quality assessment specified in gray scale template matching was studied. Target local salient metric (LSM) and global salient metric (GSM) were presented as quality indices, and Back-Propagation network was adopted to integrate the indices. Experiment shows that error caused by the proposed method is less than the error caused by the classical indices, such as ETB and TIR.
FLIR image quality assessment gray scale template matching Back-Propagation network
Peng Wang Ji-yin Sun Xi-nuo Ju
The Second Artillery Engineering Institute, Xi’an, China, 710025
国际会议
桂林
英文
1-4
2011-11-01(万方平台首次上网日期,不代表论文的发表时间)