Laser Speckle Contrast Imaging for Plant and Seed Characterization

In this paper, we present a new laser speckle contrast analysis algorithm that relies on temporal correlations between speckle images. Our approach involves analyzing consecutive frames from a sequence of speckle images using the proposed algorithm to generate a speckle contrast map. To evaluate its performance, the algorithm is tested on synthetic data with known decorrelation parameters, as well as speckle image sequences obtained from experimental data recorded for plant and seed samples. A comparison with other reported methods demonstrates that our algorithm produces an enhanced contrast map while achieving improved computation performance.