The effect of fine aggregate morphologic properties on the behavior of asphalt mixtures is well recognized. However, current procedures for measuring fine aggregate properties are at best indirect indicators. The indirect nature of current measurements has led to inconsistency in predicting the extent to which the measured properties influence pavement performance. This paper presents 2 independent methods that integrate several aspects of image-analysis techniques for quantifying angularity and texture of fine aggregates. The first technique relies on the change of aggregate shape as it is subjected to erosion-dilation morphologic operations. The second technique uses the change of an object perimeter with its shape. Analysis shows that the 2 methods are able to capture aggregate shape at 2 different scales. Angularity is captured using low-resolution images, whereas surface texture is captured using high-resolution images. These techniques have potential benefit in quantifying effects of texture and angularity on asphalt pavement performance.

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  • Corporate Authors:

    Blackwell Publishing

    350 Main Street
    Malden, MA  United States  02148
  • Authors:
    • Masad, E
    • Button, J W
  • Publication Date: 2000-7


  • English

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Filing Info

  • Accession Number: 00794526
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 15 2000 12:00AM