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November 3rd Week Progress

  • Writer: Paul Flowers
    Paul Flowers
  • Nov 20, 2017
  • 1 min read

In this week’s meetings, the team investigated a new method for generating the clearest image for blood vessel detection. The new method is ‘adaptthresh()’. Adaptthresh computes a locally adaptive threshold that can be used with the imbinarize function to convert an intensity image to a binary image. The result, T, is a matrix the same size as I containing normalized intensity values in the range [0,1]. adaptthresh chooses the threshold based on the local mean intensity (first-order statistics) in the neighborhood of each pixel. In the upcoming week, we will try to apply this local threshold along with our global thresholding mehods to retinal images in hopes of producing a mask with the clearest blood vessels. 

 
 
 

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