Laser speckle imaging is an optical metrology technique for examining various forms of object motion in fields from material engineering to bio-medical. As highly coherent illumination encounters the rough surface or scattering medium, due to the multiple interference, the randomly distributed black and white spots formed and are known as speckles. By analyzing speckle images, surface information or scattering medium motion could be recovered. In this study, an optical system for acquiring speckle images from rabbit retina is built for characterizing the blood vessel properties with speckle correlation time constant. As laser illuminates onto the rabbit retina, speckles are formed due to the moving red blood cells inside the retinal blood vessel. The intensity of speckles fluctuate along time and are recorded with high speed CMOS at frame rate 150 frames per second. Speckle correlation time constant describe the relation between frames as the decay rate. Two approaches are used for the processing of image sequences for correlation time constant, one is utilizing asymptotic equation from speckle contrast result, and another is correlation based approach. To determine the performance of our system and algorithms, we compare two regions on the retina with different properties, one region contains faster blood flow while another with slower blood flow. Both approaches shows distinct differences in the value of correlation time constant of two regions.
Spectral reflectance estimation of an object via low-dimensional snapshot requires both image acquisition and a post numerical estimation analysis. In this study, we set up a system incorporating a homemade cluster of LEDs with spectral modulation for scene illumination, and a multi-channel CCD to acquire multichannel images by means of fully digital process. Principal component analysis (PCA) and pseudo inverse transformation were used to reconstruct the spectral reflectance in a constrained training set, such as Munsell and Macbeth Color Checker. The average reflectance spectral RMS error from 34 patches of a standard color checker were 0.234. The purpose is to investigate the use of system in conjunction with the imaging analysis for industry or medical inspection in a fast and acceptable accuracy, where the approach was preliminary validated.
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