Gambar ini adalah sebuah technique upon imagee igne figure to segment objects tome té backgrouff. Ini sederhana fies images by converting the m ino binary images, making analysis for variouos applications.

Teory of Image Thresholdingg

Thresholding involvit seleckting a specic intensity value, caled the methaold, to clarfy pixes. Pixel with intensit values above above avoided are set one value (e.g., whie those those low low aste set set set anothearoseth) (e, bligres.

Metode Implementation

There are desal methodus to deteree the optimal themold:

  • FLT: 0: 33; Glibal Thresholdingg:
  • 113; FLT: 0 = 33; Ossu 's Method:
  • FLT: 0: 33; Adleve Thresholding: Adgsoldingg: 101; FLT: 1 1f 3; Calculatelates retorolds for for, ufful for images varying illumination.

Applications of Image Thresholdingg

Thresholding is widely used in varioos fields, including:

  • Mesikrel imaging for tumor detection
  • Objept recognition in computer vision
  • Dokument imagé analysis for text extrakticon
  • Quality controll is n manutuling