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4832a0e1136711920ff3 · A Convolutional Neural Networks-Based Approach for Texture Directionality Detection

A Convolutional Neural Networks-Based Approach for Texture Directionality Detection

The perceived texture directionality is an important, not fully explored image characteristic. In many applications texture directionality detection is of fundamental importance. Several approaches have been proposed, such as the fast Fourier-based method

Официальный источник · 2022-01-12

Полные импортированные сведения карточки
{
  "title_en": "A Convolutional Neural Networks-Based Approach for Texture Directionality Detection",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2022-01-12",
  "date_original": "January 12, 2022",
  "url": "https://www.nist.gov/publications/convolutional-neural-networks-based-approach-texture-directionality-detection",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Marcin Kociolek, Michal Kozlowski, Antonio Cardone",
  "abstract_excerpt_en": "The perceived texture directionality is an important, not fully explored image characteristic. In many applications texture directionality detection is of fundamental importance. Several approaches have been proposed, such as the fast Fourier-based method",
  "id": "4832a0e1136711920ff3",
  "sources": [
    "NIST Publications"
  ],
  "source_records": [
    {
      "title_en": "A Convolutional Neural Networks-Based Approach for Texture Directionality Detection",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2022-01-12",
      "date_original": "January 12, 2022",
      "url": "https://www.nist.gov/publications/convolutional-neural-networks-based-approach-texture-directionality-detection",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Marcin Kociolek, Michal Kozlowski, Antonio Cardone",
      "abstract_excerpt_en": "The perceived texture directionality is an important, not fully explored image characteristic. In many applications texture directionality detection is of fundamental importance. Several approaches have been proposed, such as the fast Fourier-based method"
    }
  ],
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}