Correlation of Fine Aggregate Imaging Shape Indices with Asphalt Mixture Performance

By Eyad Masad, D. Olcott, T. White, Laith Tashman. 2001

223 citations recorded by the source corpus.

Subfields: Civil and Structural Engineering, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/d611e32dae8bff151f406f4dd4086067818c6a0a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Civil and Structural Engineering

1. Eyad Masad

In Computer Vision and Pattern Recognition

1. Eyad Masad

Citations in the corpus

• Evaluation of image analysis techniques for quantifying aggregate shape characteristics (2007, methodology): “[19] proposed the radius angularity index, which is described by the following equation:”
• Aggregate Imaging System for Characterizing the Shape of Fine and Coarse Aggregates (2003, methodology): “Also, it is easier to capture black-and-white images for angularity analysis rather than the gray high-resolution images required for texture analysis (8, 9).”