-
-
Save freegroup/380adf00adf87432cc3e627f3904d205 to your computer and use it in GitHub Desktop.
Otsu's method - Automatic Histogram Based Image Thresholding
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
// Read https://en.wikipedia.org/wiki/Otsu%27s_method (added this since JS examples in wikipedia didn't work) | |
function otsu(histData /* Array of 256 greyscale values */, total /* Total number of pixels */) { | |
let sum = 0; | |
for (let t=0 ; t<256 ; t++) sum += t * histData[t]; | |
let sumB = 0; | |
let wB = 0; | |
let wF = 0; | |
let varMax = 0; | |
let threshold = 0; | |
for (let t=0 ; t<256 ; t++) { | |
wB += histData[t]; // Weight Background | |
if (wB == 0) continue; | |
wF = total - wB; // Weight Foreground | |
if (wF == 0) break; | |
sumB += t * histData[t]; | |
let mB = sumB / wB; // Mean Background | |
let mF = (sum - sumB) / wF; // Mean Foreground | |
// Calculate Between Class Variance | |
let varBetween = wB * wF * (mB - mF) * (mB - mF); | |
// Check if new maximum found | |
if (varBetween > varMax) { | |
varMax = varBetween; | |
threshold = t; | |
} | |
} | |
return threshold; | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment