Hypotenuse

Calculates the euclidean distance of two points between two images.

🖼️ Image options and parameters of hypotenuse method

A "hypotenuse filter" is using two compatible images to change values of each pixel by calculating Euclidean distance with the formula:

$$NewValue = \sqrt{Value1^2+Value2^2}$$

Where $Value1$ is a value of the pixel in the first image and $Value2$ is the value of the second one. The goal is to identify which points in one image correspond to points in another image, which is essential for various computer vision and image processing applications. Calculating hypotenuse value between two pixels is also necessary for image aligning and feature matching.

Kinds of images compatible with algorithm

Image property	What it means	Possible values
bitDepth	number of bits per channel	[8,16]
components	number of components	any
alpha	is alpha channel allowed	true

Parameters and default values

• otherImage

• options

Options

Property	Required	Default value
channels	no	-

caution

Images must be compatible by size, bit depth, number of channels and number of alpha channels. However, for the resulting image user can choose the bit depth of the resulting image as well as channels which the algorithm will be applied to.