Bildkoordinatensystem

A Bildkoordinatensystem, or image coordinate system, is a framework used to define the position of points within a digital image. It typically consists of two axes, often labeled X and Y, that intersect at an origin point. The origin can be located at various positions depending on the convention being used, most commonly at the top-left corner of the image.

The X-axis usually runs horizontally, with values increasing from left to right, representing the columns of pixels. The Y-axis typically runs vertically, with values increasing from top to bottom, representing the rows of pixels. Each pixel in the image can then be uniquely identified by its X and Y coordinates.

In computer vision and image processing, the Bildkoordinatensystem is fundamental for tasks such as object detection, image segmentation, and feature matching. It allows algorithms to precisely locate and manipulate regions of interest within an image. Different applications or software might employ slight variations in their coordinate system definitions, such as different origin points or axis orientations, but the underlying principle of using orthogonal axes to define spatial relationships remains consistent. Understanding the Bildkoordinatensystem is crucial for anyone working with digital images programmatically.