📄 quantize.m
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function [grayImage, quantImage, bw] = quantizeImage(rgbImage);
% quantizeImage: Quantizes the supplied gray image, and returns the
% quantized gray image, and a black and white image determined using an
% adaptive threshold.
grayImage = rgb2gray(rgbImage);
% First adjust the image intensity values:
% calculates the histogram of the image and determines the adjustment limits
% low_in and high_in then, maps the values in the supplied intensity image
% to new values such that values between low_in and high_in map to values between 0 and 1,
% values below low_in map to 0, and those above high_in map to 1.
quantImage = imadjust(grayImage, stretchlim(grayImage), [0 1]);
% Adaptive threshold Black and White image:
quantImage = im2double(quantImage);
op = find_optimal_threshold(quantImage);
bw = im2bw(quantImage, op);
return;
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