Skip to content

thomascong121/ImageProcessSlider

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 

Repository files navigation

ImageProcessSlider

Description

This project is to help people quickly compare the results aftering image processing. In this project, you can choose either Median Smoothing or Gaussian Smoothing along with four different image thresholding methods: Global, Otsu, Adaptive Mean and Adpative Gaussian.

Demo

Demo

Usage

In order to run this project, first clone to your local device. Then run

python3 myslider.py

You will be asked to input the image path, copy and paste your image path to terminal and you will see a figure window pop up, similar to the demo.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages