Ho-young JIN1, Hyun-chool SHIN1, Kab-mun CHA1, Ki-won RHEE1, Nitish Thakor2
1. Soongsil University, Seoul 156-743, Korea; 2. Johns Hopkins University, Baltimore 21218, USA
Abstract-One of the advantages of laser speckle is detecting m icro-vascular through image processing. This paper proposes a new image proces sing method for laser speckle, adaptive window method that adaptively processes laser speckle images in the space. Disadvantage of conventional fixed window met hod is that it uses the same window size regardless of target areas. Inherently laser speckle contains undesired noise. Thus a large window is helpful for remov ing the noise, but it results in low resolution of image. Otherwise a small wind ow may detect micro vascular but it has limits in noise removal. To overcome thi s trade-off, the concept of adaptive window method is newly introduced to conve ntional laser speckle image analysis. In addition, the modified adaptive window method applied to other selection images. We have compared conventional Laser Sp eckle Contrast Analysis(LASCA) and its variants with the proposed method in term s of image quality and processing complexity. Moreover compared the result of th e accompanied changing selection images have also been compared.
Key words-Laser Speckle Contrast Analysis (LASCA); ada ptive window; laser speckle; selection image
Manuscript Number: 1674-8042(2010)03-0238-04
dio: 10.3969/j.issn.1674-8042.2010.03.08
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