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8 December 2011 Object matching task-oriented image quality assessment
Zhiguo Cao, Xiyao Duan
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Proceedings Volume 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis; 800217 (2011) https://doi.org/10.1117/12.901861
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
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.
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Zhiguo Cao and Xiyao Duan "Object matching task-oriented image quality assessment", Proc. SPIE 8002, MIPPR 2011: Multispectral Image Acquisition, Processing, and Analysis, 800217 (8 December 2011); https://doi.org/10.1117/12.901861
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KEYWORDS
Image quality
Detection and tracking algorithms
Image processing
Quality systems
Automatic target recognition
Binary data
Signal to noise ratio
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