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Laser Speckle Imaging Using Adaptive Windowing Method  

Jin, Ho-Young (Department of Electronical Engineering, Soongsil University)
Shin, Hyun-Chool (Department of Electronical Engineering, Soongsil University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.47, no.1, 2010 , pp. 97-102 More about this Journal
Abstract
A laser speckle is a random pattern that has a granular appearance produced by reflected light when a coherent laser illuminates an irregular course surface. Most important property of laser speckle is detecting micro-vascular. Speckle image needs image processing to detect micro-vascular. This paper proposes a new image processing method for laser speckle, adaptive window method that adaptively processes laser speckle images in the spatial. Conventional fixed window based LASCA has shortcoming in that it uses the same window size regardless of target areas. Inherently laser speckle contains undesired noise. Thus a large window is helpful for removing the noise but it results in low resolution of image. Otherwise a small window may detect micro vascular but it has limits in noise removal. To overcome this trade-off, we newly introduce the concept of adaptive window method to conventional laser speckle image analysis. We have compared conventional LASCA and its variants with the proposed method in terms of image quality and processing complexity.
Keywords
Laser speckle contrast analysis(LASCA); adaptive window; Laser speckle; micro vessel.;
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