Image Thresholding Demos

This demo shows how a image looks like after thresholding. The percentage of the thresholding means the threshold level between the maximum and minimum indesity of the initial image. Thresholding is a way to get rid of the effect of noise and to improve the signal-noise ratio. That is, it is a way to keep the significant imformation of the image while get rid of the unimportant part (under the condition that you choose a plausible thresholding level). In the Canny edge detector part, you will see that, before thinning, we first do some thresholding. You are encouraged to do thinning without thresholding and to see what is the advantage of thresholding.

lena.gif 10% threshold

20% threshold 30% threshold

End of document