Abstract
In order to improve the intensity and contrast qualities of Millimeter Wave (MMW) images and reduce the image noise for concealed weapons Detection, a method is proposed through combining the gray stretch technique and Retinex theory. Gray stretch is first used to preprocess the MMW image, and then Retinex theory based on Single-Scale Retinex (SSR) is used to suppress background clutters. As a result, both the image contrast and Peak Signal to Noise Ratio (PSNR) are improved efficiently. The simulation and experimental results have proved that the algorithm is not only effective in detecting MMW targets, but also has advantages of high speed and is easy for engineering applications.
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Huai, WJ., Shang, L., Su, PG. (2012). MMW Image Enhancement Based on Gray Stretch Technique and SSR Theory. In: Huang, DS., Jiang, C., Bevilacqua, V., Figueroa, J.C. (eds) Intelligent Computing Technology. ICIC 2012. Lecture Notes in Computer Science, vol 7389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31588-6_49
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DOI: https://doi.org/10.1007/978-3-642-31588-6_49
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