std2

Standard deviation of matrix elements

Syntax

B = std2(A)

Description

B = std2(A) computes the standard deviation of all values in array A.

You optionally can compute the standard deviation using a GPU (requires Parallel Computing Toolbox™).

Examples

Compute 2-D Standard Deviation

Read a grayscale image into the workspace, then calculate the standard deviation of the pixel intensity values.

I = imread('liftingbody.png');
val = std2(I)

val = 31.6897

Compute 2–D Standard Deviation on a GPU

Read a grayscale image into the workspace as a gpuArray object, then calculate the standard deviation of the pixel intensity values using a GPU.

I = gpuArray(imread('liftingbody.png'));
val = std2(I)

Input Arguments

A — Input data

numeric array | logical array

Input data, specified as a numeric or logical array.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | logical

Output Arguments

B — Standard deviation

numeric scalar | gpuArray

Standard deviation of input data, returned as a numeric scalar. If the data type of A is single, then the data type of B is also single. Otherwise, the data type of B is double.

Data Types: single | double

Extended Capabilities

GPU Arrays

Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.

This function fully supports GPU arrays. For more information, see Image Processing on a GPU.