• Corpus ID: 212546549

Analysis of Aggregates By Image Processing Using Matlab

@inproceedings{Chaudhari2016AnalysisOA,
  title={Analysis of Aggregates By Image Processing Using Matlab},
  author={Snehal N Chaudhari},
  year={2016}
}

• S. N. Chaudhari
• Published 2016
• Materials Science

Aggregates need to pass numerous tests to ensure the performance of concrete structures and pavements. Some of these tests are requiring manual, labour intensive, cost ineffective measurements that do not provide significant statistical validity, and are prone to errors through ignorance, negligence, or even in some cases through deliberate misinterpretation. Durability, workability, shear resistance, tensile strength, stiffness, and fatigue response of concrete and asphalt concrete is heavily depend on the shape of aggregate particles. In recent years, image analysis is widely used to analyze the particle shape characteristics of aggregate. In this research, shape properties of coarse aggregates are compared using image analysis by determining the shape characteristics of aggregate such as elongation, flakiness, sieve analysis with traditional methods. The system provides rapid and accurate determination of aggregate shape properties with minimum interference from the operator. Digital-image processing consists of converting camera pictures into digital form and applying various mathematical procedures to extract relevant information from the picture. In other words, digital image processing and analysis is concerned with the transformation and analysis of picture by a computer. The process starts with the capture of a digital image (usually referred to as imaging) followed by its storage, transmission, processing, and analysis of the image by computer to extract information or features of interest.