Evaluation and comparison of Image J and GIAS softwares with mechanical sieving in automatic particle-size distributions

Particle-size and their distribution are important in various sciences such as: agricultural, natural resources, and even engineering and medical engineering. Using mechanical sieves requires considerable cost and time. The purpose of this study was to investigate the capability of image processing techniques for desert pavement. Thus, random sampling of desert pavement was carried out in bare and epandage pediments. Samples were transferred to the laboratory and was grading using standard sieve series. The collected samples taken were also photographed. Photos were analyzed using Image Processing and Analysis in Java and Geological Image Analysis Softwares.Then the results of the software were compared with the values measured by the sieve series. Results, show that the values obtained for particle aggregation using Image j software have a correlation of 93% in the epandage Pediment particles and 96% in the bare Pediments with mechanical sieve. Results of correlation between mechanical sieving and GIAS software in epandage pediment have an average correlation of 91% and in bare pediment has a correlation of 96%. It can be concluded that the use of these softwares can be a good substitute for mechanical sieve in particle size distribution. Using the results of this study can be effective in reducing cost and time in perform grading.