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eikonalbasedregiongrowing's Introduction

Eikonal Based Region Growing

Repository for ECE 435 Medical Image Processing final project.

image

This program grows superpixel regions based on a weight function describing the distance between pixel intensity values

Running the Program

1. Call the function ERGC(img, T)

  • img is a square grayscale image as a matrix
  • T is the threshold value for the weight function
  • A good starting value for T is around 200

2. Select your starting seed

  • Your image will appear in a figure window, this is where you choose your seed by clicking on a spot in your image and hitting enter
  • The program will now run to completion and display the final region boundaries

eikonalbasedregiongrowing's People

Contributors

tmastrom avatar jjohnson96 avatar

eikonalbasedregiongrowing's Issues

Fix placeSeedsOnGrid function

function currently only places seeds in a perfect square so only uses square number of seeds. Not enough to oversegment the image

Reduce boundary width

cyan outline of the region in the final image is too thick. make it 1 pixel thick

Non-functional

  • Update Readme
  • Generate .gif of region growing
  • cleaning up the codebase for readability

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