im2uint16

Convert image to 16-bit unsigned integers

Syntax

J = im2uint16(I)

J = im2uint16(I,'indexed')

Description

J = im2uint16(I) converts the grayscale, RGB, or binary image I to uint16, rescaling or offsetting the data as necessary.

If the input image is of class uint16, then the output image is identical. If the input image is of class logical, then im2uint16 changes true-valued elements to 65535.

J = im2uint16(I,'indexed') converts the indexed image I to uint16, offsetting the data if necessary.

Examples

Convert Array from double to uint16

Create an array of class double.

I = reshape(linspace(0,1,20),[5 4])

I = 5×4

         0    0.2632    0.5263    0.7895
    0.0526    0.3158    0.5789    0.8421
    0.1053    0.3684    0.6316    0.8947
    0.1579    0.4211    0.6842    0.9474
    0.2105    0.4737    0.7368    1.0000

Convert the array to class uint16.

I2 = im2uint16(I)

I2 = 5x4 uint16 matrix

       0   17246   34492   51738
    3449   20695   37941   55187
    6898   24144   41391   58637
   10348   27594   44840   62086
   13797   31043   48289   65535

Input Arguments

I — Input image

numeric array | logical array

Input image, specified as a numeric array or logical array of any size and dimension.

• If I is a grayscale or RGB image, then it can be uint8, uint16, double, logical, single, or int16.

• If I is an indexed image, then it can be uint8, uint16, double or logical.

  Note

  It is not always possible to convert an indexed image to uint8. If the indexed image is of class double, then the maximum value must be 65536 or less.

• If I is a binary image, then it must be logical.

Data Types: single | double | int16 | uint8 | uint16 | logical

Output Arguments

J — Image with class uint16

numeric array

Image with class uint16, returned as a numeric array of the same size as the input image I.

Data Types: uint16

Extended Capabilities

C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

Usage notes and limitations:

• im2uint16 supports the generation of C code (requires MATLAB^® Coder™). Note that if you choose the generic MATLAB Host Computer target platform, im2uint16 generates code that uses a precompiled, platform-specific shared library. Use of a shared library preserves performance optimizations but limits the target platforms for which code can be generated. For more information, see Types of Code Generation Support in Image Processing Toolbox.

Thread-Based Environment

Run code in the background using MATLAB® backgroundPool or accelerate code with Parallel Computing Toolbox™ ThreadPool.

This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.

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.

Version History

Introduced before R2006a

R2021b: Support for thread-based environments

im2uint16 now supports thread-based environments.