|MATLAB File Help: cv.threshold||Index|
Applies a fixed-level threshold to each array element
dst = cv.threshold(src, thresh) dst = cv.threshold(src, thresh, 'OptionName',optionValue, ...) [dst, thresh] = cv.threshold(src, 'auto', ...)
dst(x,y) = (src(x,y) > thresh) ? maxVal : 0
dst(x,y) = (src(x,y) > thresh) ? 0 : maxVal
dst(x,y) = (src(x,y) > thresh) ? thresh : src(x,y)
dst(x,y) = (src(x,y) > thresh) ? src(x,y) : 0
dst(x,y) = (src(x,y) > thresh) ? 0 : src(x,y)
The function applies fixed-level thresholding to a single-channel array.
The function is typically used to get a bi-level (binary) image out of a
grayscale image (cv.compare could be also used for this purpose) or for
removing a noise, that is, filtering out pixels with too small or too large
values. There are several types of thresholding supported by the function.
They are determined by
thresh is set 'Otsu' or 'Triangle', the function determines the
optimal threshold value using the Otsu's or Triangle algorithm. The function
returns the computed threshold value. Currently, the Otsu's and Triangle
methods are implemented only for 8-bit images.