Otsu's Method

Otsu's Method is an algorithm used in image processing to automatically separate the foreground (important objects) from the background. It analyzes the image's pixel brightness levels to find an optimal threshold that minimizes the variability within each group (foreground and background) while maximizing the difference between them. By doing so, it effectively segments the image into meaningful parts without manual intervention. This process helps in tasks like object detection, medical imaging, and image enhancement, providing a reliable way to distinguish primary features based on their brightness differences.