Image processing algorithms for biospeckle analysis of almond seed

Abstract

Laser biospeckle technique, as a non-invasive, non-contact and non-destructive method has gained importance in the assessment of biospeckle activity of various biological samples. This study presents the application of the laser biospeckle technique [1] to evaluate the activities of dry and soaked almond seed. We have used conventional image processing algorithms such as inertia moment (IM), absolute value of differences (AVD), and probability mass function of regular difference, temporal speckle contrast and fujii for this analysis. All analyses indicate an increase of biospeckle activity of the soaked almond (402.85 using IM) in comparisons to the dry stage (44.32 using IM) which can be attributed to the initiation of germination. Spectral activity maps obtained using fujii represents the change of surface of the almond seed after soaking water.