Polar Division

A Polar Division is a way to divide a dataset or an image based on the distance and angle from a central point, much like slicing a pizza. Instead of dividing into rectangular sections, it splits data into segments defined by radius (distance from center) and angle (direction). This approach is useful for analyzing circular patterns or features that radiate from a center, such as detecting patterns in images with circular symmetry or analyzing data in fields like astronomy and image processing. It allows for concentrating on particular regions based on their position relative to the center.