bb16a494e84f1ff97028 · Gauging the difficulty of image segmentation
Gauging the difficulty of image segmentation
Image segmentation is the first step in a complex process of object recognition. This report presents a method to gauge the difficulty of segmentation by calculating a scalar parameter Q for an image. This parameter depends on a distribution of the
{
"title_en": "Gauging the difficulty of image segmentation",
"designation": "",
"series": "",
"status": "",
"date": "2022-05-19",
"date_original": "May 19, 2022",
"url": "https://www.nist.gov/publications/gauging-difficulty-image-segmentation-0",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Marek Franaszek",
"abstract_excerpt_en": "Image segmentation is the first step in a complex process of object recognition. This report presents a method to gauge the difficulty of segmentation by calculating a scalar parameter Q for an image. This parameter depends on a distribution of the",
"id": "bb16a494e84f1ff97028",
"sources": [
"NIST Publications"
],
"source_records": [
{
"title_en": "Gauging the difficulty of image segmentation",
"designation": "",
"series": "",
"status": "",
"date": "2022-05-19",
"date_original": "May 19, 2022",
"url": "https://www.nist.gov/publications/gauging-difficulty-image-segmentation-0",
"source": "NIST Publications",
"display_en": "",
"authors_en": "Marek Franaszek",
"abstract_excerpt_en": "Image segmentation is the first step in a complex process of object recognition. This report presents a method to gauge the difficulty of segmentation by calculating a scalar parameter Q for an image. This parameter depends on a distribution of the"
}
],
"translation_state": "none"
}