Digital Image Processing for Soil Characteristics

Abstract

This research helps inside the improvement of digital image analysis method for estimation of physical properties of soil in lieu of laboratory technique. The conventional laboratory approach a few drawbacks which include a number of guide involvements, time taking unsure prediction and constantly invasive in nature, because of this to reduce above stated drawbacks, this studied work is undertaken to increase a correlation amongst soil photograph function specially Fractal Dimension (FD) and physical properties of soil especially Water Content (Ww), Specific Gravity (Gs), Coefficient of Curvature (Cc), Uniformity coefficient (Cu), Liquid Limit (WL), Plastic Limit (Wp), Shrinkage Limit (Ws) and field density. And this investigation also useful figuring out the cracking & shrinkage percent variation with addition of Polypropylene fibers as 0.2%, 0.4%, 0.6% and 0.8%. The prevailing studies offers accumulating soil samples for path pits at precise as per IS code approach. The digital image database is ready for the collected soil sample inside the laboratory and index properties (Y) are decided. The digital image analysis is adopted to estimate the image feature namely Fractal dimension (X). Correlation is advanced between Y and X with the aid of becoming suitable polynomial equation with the use of regression fashions. The final outcomes of this research will make contribution to make soil bodily homes estimation automatic to a structural engineers, emphasizes that there may be extremely good ability in the use of fractal measurement foe estimating physical properties by using
digital image analysis, with minimum human mistakes.