CUDAOpening
CUDAOpening[img,r]
gives the morphological opening of img with respect to a range-r square.
CUDAOpening[list,r]
gives the morphological opening of list with respect to a range-r square.
CUDAOpening[mem,r]
gives the morphological opening of mem with respect to a range-r square.
Details and Options
- The CUDALink application must be loaded using Needs["CUDALink`"].
- CUDAOpening works with binary, grayscale, and other images.
- CUDAOpening[image,r] is equivalent to Opening[image,r].
- If multiple image channels are present, CUDAOpening operates on each of them separately.
- The following options can be given:
-
"Device" Automatic device used for CUDA computation Padding "Fixed" value used on boundary "OutputMemory" None CUDAMemory where output is stored
Examples
Basic Examples (5)
First, load the CUDALink application:
Use morphological opening to extract objects larger than the structuring element:
CUDAOpening works with graphics objects:
Using CUDAMemory, you can speed up computation by reducing the time spent on memory operations. This loads memory onto the GPU:
This performs the opening operation:
Text
Wolfram Research (2010), CUDAOpening, Wolfram Language function, https://reference.wolfram.com/language/CUDALink/ref/CUDAOpening.html.
CMS
Wolfram Language. 2010. "CUDAOpening." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/CUDALink/ref/CUDAOpening.html.
APA
Wolfram Language. (2010). CUDAOpening. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/CUDALink/ref/CUDAOpening.html