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d3f63c4ecf934447202c · Exploring Local Features and the Bag-of-Visual-Words Approach for BioImage Classification

Exploring Local Features and the Bag-of-Visual-Words Approach for BioImage Classification

With recent advances in imaging technologies large numbers of bioimages are currently being acquired. Automated classification of these bio-images is a very important and challenging problem. Here we investigate the capabilities of local features and the

Официальный источник · 2013-11-05

Полные импортированные сведения карточки
{
  "title_en": "Exploring Local Features and the Bag-of-Visual-Words Approach for BioImage Classification",
  "designation": "",
  "series": "",
  "status": "",
  "date": "2013-11-05",
  "date_original": "November 5, 2013",
  "url": "https://www.nist.gov/publications/exploring-local-features-and-bag-visual-words-approach-bioimage-classification",
  "source": "NIST Publications",
  "display_en": "",
  "authors_en": "Afzal A. Godil , Asim Wagan",
  "abstract_excerpt_en": "With recent advances in imaging technologies large numbers of bioimages are currently being acquired. Automated classification of these bio-images is a very important and challenging problem. Here we investigate the capabilities of local features and the",
  "id": "d3f63c4ecf934447202c",
  "sources": [
    "NIST Publications"
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  "source_records": [
    {
      "title_en": "Exploring Local Features and the Bag-of-Visual-Words Approach for BioImage Classification",
      "designation": "",
      "series": "",
      "status": "",
      "date": "2013-11-05",
      "date_original": "November 5, 2013",
      "url": "https://www.nist.gov/publications/exploring-local-features-and-bag-visual-words-approach-bioimage-classification",
      "source": "NIST Publications",
      "display_en": "",
      "authors_en": "Afzal A. Godil , Asim Wagan",
      "abstract_excerpt_en": "With recent advances in imaging technologies large numbers of bioimages are currently being acquired. Automated classification of these bio-images is a very important and challenging problem. Here we investigate the capabilities of local features and the"
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