Question

We are supposed to make the matlab code below work to recolor the image to maize and blue

lab3_1recolor.m:

function [ outputImg ] = lab31recolor(hsvImg)

% This function takes an hsv image.

% An image is composed of 3 matrices (hue, saturation, and value).

% This function fixes the colors of the OSU algorithm.

% The corrected image is assigned into outputImg.

% Obtains the hue and saturation layers from the matrix

% An image has 3D dimensions, which is why we use hsvImg(:, :, layer)

hue = hsvImg(:, :, 1);

sat = hsvImg(:, :, 2);

  

% Fix the green and make it blue

hue(0.35 > hue & hue > 0.25) = hue .* 2;

% Replace the red with yellow

hue(.15 > hue | (1 > hue & hue > .97)) = 0.15;

% Increase saturation by a multiplier of 1.2 to make colors more vivid

sat(:, :) .* 1.2 = sat(:, :);

  

% We modified hue and sat

% We need to copy these back into hsvImg!

hsvImg(:, :, 1) = hue;

hsvImg(:, :, 2) = sat;

end

lab3_1_test.m:

% Read the image from the file

img = imread('evil2.jpg'); % hardcode as evil1.jpg or evil2.jpg

% Converts from RGB to HSV (hue, value, saturation)

img = rgb2hsv(img);

% Fixes the image with our function

img = lab1_3_recolor(img);

% Converts from HSV to RGB

img = hsv2rgb(img);

% Displays the image

imshow(img);

Answer 1

% lab31recolor.m : Matlab function to recolor the image

function [ outputImg ] = lab31recolor(hsvImg)

% This function takes an hsv image.
% An image is composed of 3 matrices (hue, saturation, and value).
% This function fixes the colors of the OSU algorithm.
% The corrected image is assigned into outputImg.
% Obtains the hue and saturation layers from the matrix
% An image has 3D dimensions, which is why we use hsvImg(:, :, layer)
  
outputImg = hsvImg; % copy the values of hsvImg to outputImg
% obtain the hue values
hue = hsvImg(:, :, 1);
% obtain the saturation values
sat = hsvImg(:, :, 2);

% Fix the green and make it blue
hue(0.35 > hue & hue > 0.25) = hue(0.35 > hue & hue > 0.25) .* 2;

% Replace the red with yellow
hue(.15 > hue | (1 > hue & hue > .97)) = 0.15;

% Increase saturation by a multiplier of 1.2 to make colors more vivid
sat(:, :) = sat(:, :).* 1.2;

% We modified hue and sat
% We need to copy these back into hsvImg!

outputImg(:, :, 1) = hue;
outputImg(:, :, 2) = sat;

end

%end of function

%main script

% Read the image from the file

img = imread('evil2.jpg.png'); % hardcode as evil1.jpg or evil2.jpg

% Converts from RGB to HSV (hue, value, saturation)

img = rgb2hsv(img);

% Fixes the image with our function

img = lab31recolor(img);

% Converts from HSV to RGB

img = hsv2rgb(img);

% Displays the image

imshow(img);

%end of script

Output:

Input image:

Output Image:

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