MATLAB: How to range the value of h component between [0 1]

h componentrange

i want to limit the range of h component between [0 1]

Best Answer

rgb = imread('peppers.png');
hsv = rgb2hsv(rgb);
h = hsv(:, :, 1);
min(min(h))
max(max(h))
ans =
     0
ans =
          0.99914089347079

Are you talking about hsv color space? It already seems to be limited to the range 0-1 as you can see above.

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MATLAB: Set weight in neural network in [0 1]

1. Forget about controlling weight ranges. You have several more serious problems:

2. With an I-H-O = 3-6-1 node topology, the number of unknown weights is

 Nw = (I+1)*H+(H+1)*O = (3+1)*6+(6+1)*1 = 31
 whereas with N = 8 data points and O = 1 output node, 
 the number of training equations is no larger than 
 Ntrneq = Ntrn*1 <= N*1 = 8
 2. Using a validation subset to mitigate overtraining 
 an overfit net would result in BOTH Nval and Ntrn 
 being inadequately small. 
 3. Other well known remedies (which can be combined)
    a. Regularization: Add a constant times the sum of 
        weight magnitudes to the performance function         
    b. Add simulated noisy data about each original 
        data point within a sphere of radius of 0.5.
 4. However, before getting all fancy, just try to 
  reduce the number of unknown weights by reducing the 
  number of hidden nodes.
Hope this helps,
*Thank you for formally accepting my answer*
Greg

MATLAB: Create colormap to represent value intervals [0 1]

Hi Fiona,

how about labeling image? The following code is the example.

%% image load
img = double(rgb2gray(imread('coloredChips.png'))) / 255.;
img(randperm(numel(img), round(numel(img)/100))) = NaN;
figure;
imshow(img);
%% labeling
label = zeros(size(img), 'uint8');
label(~finite(img)) = 0;
label(img < 0.05) = 1;
label(img >= 0.05 & img <= 0.2) = 2;
label(img > 0.2) = 3;
figure;
imshow(label, []); colormap(jet);
%% make colormap
map = [1 1 1; % white for 0
    1 0 0; % red for 1
    1 1 0; % yellow for 2
    0 1 0 ]; % green for 3
%% converting to rgb image
rgb = ind2rgb(label, map);
figure;
imshow(rgb);

Hope this helps.

Best Answer

Related Solutions

MATLAB: Set weight in neural network in [0 1]

MATLAB: Create colormap to represent value intervals [0 1]

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