Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from http://reference.wolfram.com/language/CUDALink/ref/CUDAImageConvolve.html below:

CUDAImageConvolve—Wolfram Documentation

We deliver solutions for the AI era—combining symbolic computation, data-driven insights and deep technical expertise

• Data & Computational Intelligence
• Model-Based Design
• Algorithm Development
• Wolfram|Alpha for Business
• Blockchain Technology
• Education Technology
• Quantum Computation

WolframConsulting.com

CUDAImageConvolve[img,kern]

gives the convolution of img with kern.

CUDAImageConvolve[list,kern]

gives the convolution of list with kern.

CUDAImageConvolve[mem,kern]

gives the convolution of mem with kern.

• The CUDALink application must be loaded using Needs["CUDALink`"].
• CUDAImageConvolve works with binary, grayscale, and other images.
• CUDAImageConvolve works with CUDAMemory and lists.
• CUDAImageConvolve[image,kern] is equivalent to ImageConvolve[image,kern].
• If multiple image channels are present, CUDAImageConvolve operates on each of them separately.
• The following options can be given:

First, load the CUDALink application:

This performs a mean filter:

Use CUDAImageConvolve on a grayscale image with a Sobel mask to detect vertical edges:

Using CUDAImageConvolve on a graphics object will automatically rasterize the graphic:

CUDAImageConvolve can be used to perform heat diffusion:

CUDAImageConvolve can be used to process geographic elevation data:

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4