A new fast algorithm for 2D Otsu thresholding was developed to make image segmentation quicker and more efficient. By dividing the histogram into regions and applying the algorithm recursively, the researchers were able to significantly reduce computation time and storage space while still achieving accurate results. This improved method simplifies the complex calculations involved in the traditional 2D Otsu thresholding algorithm, making it more accessible for practical applications in image processing.