Spatial domain me hum log pixel ki value par directly work karte hai . hum jante hai ki image ki minimum value 0 and maximum value 255.”predefined operations on pixel is called the spatial domain “
f(x,y)=T[g(x,y)]
jaha g(x,y) is the original image and f(x,y) is the
image after transformation it will get.
Transformation is apply on original image to
change into some desired result.
Like- agar hamare pas koi ek image hai jase hum usme hum zoom karte to ye b ek tarah ka transformation operation hua us original image par.
1 point processing-point processing concept hum log kisi b ek point ki value change kar dete hai according to our requirement like in this example we need in our each pixel’s value should 10 so we change it.
Thresholding transformations are particularly useful for segmentation in which we want to isolate an object of interest from a background

In this threshold value change ho rahi hai image ki
f(x,y)=T[g(x,y)]
jaha g(x,y) is the original image and f(x,y) is the
image after transformation it will get.
Transformation is apply on original image to
change into some desired result.
Like- agar hamare pas koi ek image hai jase hum usme hum zoom karte to ye b ek tarah ka transformation operation hua us original image par.
1 point processing-point processing concept hum log kisi b ek point ki value change kar dete hai according to our requirement like in this example we need in our each pixel’s value should 10 so we change it.
Thresholding transformations are particularly useful for segmentation in which we want to isolate an object of interest from a background

In this threshold value change ho rahi hai image ki


