im2int16

Convert image to 16-bit signed integers

Syntax

J = im2int16(I)

Description

J = im2int16(I) converts the grayscale, RGB, or binary image I to data type int16, rescaling the data if necessary.

If the input image is of data type int16, then the output image is identical to the input image. If the input image is of data type logical, then im2int16 changes false-valued elements to -32768 and true-valued elements to 32767.

Examples

Convert Array from double to int16

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 int16.

I2 = im2int16(I)

I2 = 5x4 int16 matrix

   -32768   -15522     1724    18970
   -29319   -12073     5173    22419
   -25870    -8624     8623    25869
   -22420    -5174    12072    29318
   -18971    -1725    15521    32767

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 of data type uint8, uint16, int16, double, single, or logical. The im2int16 function expects images of data type double and single to have values in the range [0, 1]. If I has values outside the range [0, 1], then you can rescale values to the expected range by using the rescale function.

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

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

Output Arguments

J — Image with data type int16

numeric array

Image with data type int16, returned as a numeric array of the same size as the input image I.

Data Types: int16

Extended Capabilities

C/C++ Code Generation

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

Usage notes and limitations:

• im2int16 supports the generation of C code (requires MATLAB^® Coder™). Note that if you choose the generic MATLAB Host Computer target platform, im2int16 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.

GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.

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

im2int16 now supports thread-based environments.