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Abstract:The objective of image processing is to visually enhance, quantify, and/or statistically evaluate some aspect of an image not readily apparent in its original form. Processed digital image data can be analyzed in numerous ways. In order to summarize the gathered data into helpful information, classification techniques must be employed. Most analysis techniques use image-classifying algorithms that involve aspects of mathematical morphology. Digital image analysis is a powerful method for gathering information using a computer-based system. The analysis will be geared towards the applications of digital imaging in Geotechnical Engineering and soil enhancement. The use of admixtures, such as synthetic fibers, in soils is intended to increase the mechanical properties of the soil. These synthetic produce net-like configurations when used in correct quantity, which in turn provides a means for reinforcement of the soil matrix and therefore an increase in strength. Characteristics such as void ratio, spatial variability, orientation, roughness, and the ability to identify the synthetic fiber in the sample are all essential in forming parameters to the use of the admixture.
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