Object Matching Task-oriented Image Quality Assessment
As the development of Automatic Target Recognition (ATR) technology, the performance evaluation for it becomes more and more important. Image Quality is a very important part of ATR performance evaluation. Whether the image quality is good or bad is tightly related with algorithm performance. In this paper, we construct a system of image quality assessment related to object matching task. In our framework, image quality measures published and newly proposed are analyzed first, and then a set of effective measures are selected from above. At last, we construct a model of relationship between selected measures and matching. Given an image, the system will indicate whether an image is suitable for a specific matching task. Gray level correlation matching and histograms of oriented gradients-matching are demonstrated and their experimental result shows that the image quality assessment system works effectively.
image matching image quality assessment image quality measure
Zhiguo Cao Xiyao Duan
National Key Lab. of Sci. & Tech. on Multispectral Information Processing, Inst. for Pattern Recogni National Key Lab. of Sci. & Tech. on Multispectral Information Processing,Inst. for Pattern Recognit
国际会议
桂林
英文
1-7
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）