How can we tell that OTSU binarization is feasible or not.

1. How does Otsu binarization work?
2. What is the primary limitation of Otsu's method for thresholding?
3. How is Otsu thresholding calculated?
4. Why Otsu method is used?

How does Otsu binarization work?

Otsu's method is an adaptive thresholding way for binarization in image processing. It can find the optimal threshold value of the input image by going through all possible threshold values (from 0 to 255).

What is the primary limitation of Otsu's method for thresholding?

Otsu's algorithm is one of the most well-known methods for automatic image thresholding. 2D Otsu's method is more robust compared to 1D Otsu's method. However, it still has limitations on salt-and-pepper noise corrupted images and uneven illumination images.

How is Otsu thresholding calculated?

This is simply the sum of the two variances multiplied by their associated weights. This final value is the 'sum of weighted variances' for the threshold value 3. This same calculation needs to be performed for all the possible threshold values 0 to 5.

Why Otsu method is used?

In computer vision and image processing, Otsu's method, named after Nobuyuki Otsu (大津展之, Ōtsu Nobuyuki), is used to perform automatic image thresholding. In the simplest form, the algorithm returns a single intensity threshold that separate pixels into two classes, foreground and background.