Extracting signal from data using Otsu thresholding in MATLAB?

1. What is Otsu thresholding Matlab?
2. How to calculate threshold value in image processing in matlab?
3. How does Otsu thresholding work?
4. What is Multithresh function in Matlab?

What is Otsu thresholding Matlab?

Otsu method is a clustering based image thresholding.It works when the histogram is bimodal. The method basically tries to minimize the within class variance and at the same time it maximizes the between class variance. Total variance=Within class variance +Between Class Variance.

How to calculate threshold value in image processing in matlab?

T = graythresh( I ) computes a global threshold T from grayscale image I , using Otsu's method [1]. Otsu's method chooses a threshold that minimizes the intraclass variance of the thresholded black and white pixels. The global threshold T can be used with imbinarize to convert a grayscale image to a binary image.

How does Otsu thresholding work?

In summary, Otsu's method looks at every possible value for the threshold between background and foreground, calculates the variance within each of the two clusters, and selects the value for which the weighted sum of these variances is the least.

What is Multithresh function in Matlab?

thresh = multithresh( A ) returns the single threshold value thresh computed for image A using Otsu's method. You can use thresh as an input argument to imquantize to convert an image into a two-level image.