GithubHelp home page GithubHelp logo

parallel_kmeans_image_segmentation_on_gpu's Introduction

Parallel_KMeans_Image_Segmentation_On_GPU

Code provided by Mustafa Ümit ÖNER - June 2015

Permission is granted for anyone to copy, use, modify, or distribute this program and accompanying programs and documents for any purpose, provided this copyright notice is retained and prominently displayed, along with a note saying that the original programs are available from http://www.umitoner.com/source_codes.html

This folder contains two Visual Studio projects for the implementation of K-Means image segmentation algorithm on CPU and GPU.

In order to make project files to run properly some OpenCV library tools must be included in the Visual Studio Library directories.

parallel_kmeans_image_segmentation_on_gpu's People

Contributors

onermustafaumit avatar

Stargazers

avatar

Watchers

James Cloos avatar avatar

Forkers

grseb9s

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.