This repository contains an implementation of Otsu's algorithm for image processing. Otsu's algorithm is a thresholding technique that automatically finds an optimal threshold value for image segmentation.
For the implementation, we made the following modifications:
Adjusted Image Dimensions: To optimize calculation time, we resized the input images to 200x250 pixels.
Otsu's Algorithm: We have implemented Otsu's algorithm for thresholding. The algorithm divides the input image into regions based on a histogram, aiming to maximize the variance between regions while minimizing the variance within each region. It assumes that the image's histogram has two distinct peaks and uniform brightness.
inputs image and output image:
