54fecfee13a0e901e080 · Local Thickness and Anisotropy Approaches to Characterize Pore Size Distribution of 3D Porous Networks

{
  "title_en": "Local Thickness and Anisotropy Approaches to Characterize Pore Size Distribution of 3D Porous Networks",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2009-03-06",
  "date_original": "March 6, 2009",
  "url": "https://www.nist.gov/publications/local-thickness-and-anisotropy-approaches-characterize-pore-size-distribution-3d-porous",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Martin Y. Chiang , Xianfeng Wang",
  "abstract_excerpt_en": "We have proposed a superseding algorithm approach for image analysis of the pore size distribution (PSD) of porous media. This approach adapts the intrinsic definition of skeletonization for an object representation to the characterization of the PSD, and",
  "id": "54fecfee13a0e901e080",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "Local Thickness and Anisotropy Approaches to Characterize Pore Size Distribution of 3D Porous Networks",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2009-03-06",
      "date_original": "March 6, 2009",
      "url": "https://www.nist.gov/publications/local-thickness-and-anisotropy-approaches-characterize-pore-size-distribution-3d-porous",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Martin Y. Chiang , Xianfeng Wang",
      "abstract_excerpt_en": "We have proposed a superseding algorithm approach for image analysis of the pore size distribution (PSD) of porous media. This approach adapts the intrinsic definition of skeletonization for an object representation to the characterization of the PSD, and"
    }
  ],
  "translation_state": "none"
}