Git Product home page Git Product logo

cv_honors's Introduction

Image Segmentation Techniques

  1. Goals – build and test Matlab implementations of:

    • Active Contour Analysis (Szeliski 5.1)
    • Mean shift (Szeliski 5.3)
    • Expectation Maximization [E-M] method – mixture of Gaussians
  2. Sources

  3. Report

    • Give mathematical and algorithmic theory for each method
    • Describe Matlab implementations and how to run the Matlab code
    • Test methods with gray-scale and color images
      • Vary parameters
    • Give well-commented code
    • Sum up observations on the pro’s and cons of the methods
  4. Due date – Wednesday 18 December (during Final’s Week)

cv_honors's People

Contributors

dwj300 avatar mattrozak avatar

Stargazers

 avatar

Watchers

 avatar  avatar

Forkers

slzephyr

cv_honors's Issues

research

We should throw research links organized by topic at the end of the readme. It would help us share research and would make a good works cited when we're done.

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.