Principles of Otsu's Maximum Inter-class Variance Method

Otsu's Maximum Inter-class Variance MATLAB Code - Principle Explanation: Otsu's method, proposed by Japanese scholar Nobuyuki Otsu in 1979, is an adaptive threshold determination technique also known as the Otsu method. It segments images into background and foreground based on grayscale characteristics. A larger inter-class variance indicates greater distinction between the two components; misclassifying foreground as background or vice versa reduces this distinction.