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Two-Dimensional Euclidean Distance

Two-dimensional Euclidean distance is the straight-line distance between two points in a 2D Cartesian coordinate system. For two points (x1,y1)(x_1, y_1) and (x2,y2)(x_2, y_2), it is calculated using the distance formula derived from the Pythagorean theorem:

d=sqrt(x2x1)2+(y2y1)2d = \\sqrt{(x_2 - x_1)^2 + (y_2 - y_1)^2}

In computer vision and image processing, this metric is commonly used to determine the proximity of feature points, such as preventing a corner detection algorithm from returning multiple nearby coordinates for the same physical corner.

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Updated 2026-06-28

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Python Programming Language

Data Science

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