Thresholding (image processing): Difference between revisions

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== Automatic Thresholding ==
Automatic Thresholding is a great way to extract useful information encoded into pixels while minimizing background noise. This is accomplished by utilizing a feedback loop to optimize the threshold value before converting the original grayscale image to binary. The idea is to separate the image into two parts; the background and foreground<ref>{{Cite book|url=https://www.worldcat.org/oclc/1016899766|title=Digital Image Processing and Analysis with MATLAB and CVIPtools, Third Edition|last=E.,|first=Umbaugh, Scott|isbn=9781498766074|edition=3rd|oclc=1016899766}}</ref>.
 
# Select initial threshold value, typically the mean 8-bit value of the original image.