Global Thresholding

Global Thresholding is when the Threshold value is the same over the entirety of the image.

Steps to perform Global Thresholding

1. A global threshold value is found for the image which is $min(f(x,y))<T<max(f(x,y))$ by averaging all the values in the image.
2. This threshold value is then compared with the pixel values and the image gets segmented accordingly with pixel intensity values > T and pixel intensity values ⇐T.
3. Compute the average of the both regions pixel intensity values which becomes the new T.
4. Now compute the average of the new T values calculated in the previous step.
5. Now repeat steps 1. and 2. until the T value difference from successive iterations is < initial T value.

Example :

• Global Thresholding Example |noembed