{
  "id": "1612.01131",
  "version": "v1",
  "published": "2016-12-04T15:47:27.000Z",
  "updated": "2016-12-04T15:47:27.000Z",
  "title": "A method for the segmentation of images based on thresholding and applied to vesicular textures",
  "authors": [
    "Amelia Carolina Sparavigna"
  ],
  "comment": "Keywords: Segmentation, Edge Detection, Image Analysis, 2D Textures, Texture Functions",
  "categories": [
    "cs.CV"
  ],
  "abstract": "In image processing, a segmentation is a process of partitioning an image into multiple sets of pixels, that are defined as super-pixels. Each super-pixel is characterized by a label or parameter. Here, we are proposing a method for determining the super-pixels based on the thresholding of the image. This approach is quite useful for studying the images showing vesicular textures.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2016-12-04T15:47:27.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "segmentation",
      "thresholding",
      "images showing vesicular textures",
      "super-pixel"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}