I'am interested in finding a way to plot an HSV image in Matlab. I know i can do it by converting it into RGB first but I want to figure out whether there is a direct way. Thanks.
Ther is the hsv2rgb function to convert an hsv image to rgb, in case you were about to convert the values yourself.
Since monitors work with rgb the image has to be converted at some place before display, so i think it doesn't really matter when this takes place. I don't know of any more direct matlab approach than using hsv2rgb and then show the image and i do not think there is one. (of course you could put those two into a user defined script if that helps making code more readable).
Related
I have a series of black and white images (not greyscale, black and white; 2D matrices in Matlab), and I need to randomly scramble the pixels. I found this package in Mathworks File Exchange (https://it.mathworks.com/matlabcentral/fileexchange/66472-image-shuffle); one of the functions, imScrambleRand, does exactly what I need, but it works for RGB images (3D matrices). Is there a way to transform b&w images into 3D matrices so that I can use that function? Or can anyone suggest any other script that does what I need? Keep in mind that I'm not familiar with Matlab, but I'll do my best.
Thank you.
EDIT 1: When I import the BW image I get a 2D matrix of logic values (0 = black, 1 = white). I think the different data format (logic vs integer) is what yields errors when using the function for RGB images.
EDIT 2: I adapted the demo code from the aforementioned package and I used the suggestion by #Jonathan for transforming a 2D matrix into a 3D matrix, and added a loop to transform the logic values into RGB integer values, then use the imScrambleRand function. It works, but what I obtain is the following image: SCRAMBLED IMAGE. This is the BW picture I start with: BW IMAGE. So I checked the scrambled image, and the function from the FEX file actually scrambles within the RGB values, meaning that I found, for instance, a pixel with RGB 0,255,0. So I solved a problem but actually there's a problem within the function: it doesn't scramble pixels, it scrambles values generating colors that were not in the original picture.
EDIT 3: I used the code provided by #nhowe and I obtain exactly what I need, thanks!
EDIT 4: Ok, turns out it's not ok to scramble the pixels since it makes the image too scattered and different from the starting image (you don't say?), but I need to scramble BLOCKS OF PIXELS so that you can't really recognize the image but the black pixels are not too scattered. Is there a way to do that using the code provided by #nhowe?
EDIT 5: It should be ok with this function: https://it.mathworks.com/matlabcentral/fileexchange/56160-hio-been-hb-imagescramble
A simple way to scramble matrix M:
r = rand(size(M));
[~,ri] = sort(r(:));
M(ri) = M;
The simplest solution to go from grayscale to RGB might be this:
rgbImage = cat(3, grayImage, grayImage, grayImage);
Then apply your function from FEX and extract one color channel, assuming that the FEX function will yield three identical color channels.
I have a problem understanding colormaps in Matlab and using them to import and diplay .gif images.
I would like to import an image using
im = imread('I.gif')
and then display it using
imshow(im)
but the result is wrong
If I do
[im,map] = imread('I.gif')
and then display it using
imshow(im,map)
it works properly, but still I don't understand the need of this colormap
Is there a way to import and convert my gif image to greyscale so that when I do
imshow(im)
it shows the correct greyscale image without having to worry about the colormap?
SOrry for the noob question but I am just starting with image processing in Matlab and I would really appreciate some help. It is my first question! :)
Bye and thanks!
If you want to convert your gif to grayscale, use ind2gray:
[im,map] = imread('I.gif');
imGray = ind2gray(im,map);
The reason that you need the colormap is that the gif format doesn't store image intensities, it stores indices into the colormap. So color 0 could be red or green or a very light shade of mauve. It's the colormap that stores the actual RGB colors that the image needs. ind2gray will take each of those colors, convert them to a grayscale intensity, and replace the indices in the image with those intensities.
It looks like you've really already answered the question. It seems that .gif files support an indexed color format, as a way of saving space. See:
https://en.wikipedia.org/wiki/Indexed_color
This is different than a more typical RGB color, which is what is often received from an IMREAD call.
To convert to a grayscale, you would need to go through the colormap and assign a grayscale value to each color, and then substitute those values back into the im variable.
I'm trying to convert an YCbCr image to RGB ysing MATLAB's function ycbcr2rgb. My resulting picture ends up being pink, and converting back again afterwards (should give me the original picture?) creates yet another image mostly grey.
For reference I tried to convert each channel individually by formula and it ends up the same.
I'm using a bigtiff format because of large filesize and if any help the imfinfo shows compression using JPEG.
Here is my code:
x=imread('picture.tiff','Index',9); %(9 subresolutions)
rgb=ycbcr2rgb(x);
imshow(rgb);
Can it be because of MATLABs function using the originial definition of YCbCr using ranges from 16-235 while my image is ranging from 0-255? If so is there any means of correcting this using the inbuild function?
I have added the pictures here, first image is showing imshow(rgb), while the second image is the original ycbcr. What I noticed is that in the Windows image viewer it actually shows it correct, it's just MATLAB's imshow that displays it pink after conversion.
Is there any chance you could point me in the right direction?
Thanks
Sonny
Apparently imread reads YCbCr images as RGB when loading it, which is why the problem occured.
Thanks for the help to all of you.
imread documentation
This link gives all the conversion formulae:
http://www.easyrgb.com/index.php?X=MATH&H=11
The below code converts image from RGB space to YCbCr space and back.
rgb = imread('board.tif');
imshow(rgb);
figure;
ycbcr = rgb2ycbcr(rgb);
imshow(ycbcr);
figure;
rgb2 = ycbcr2rgb(ycbcr);
imshow(rgb2);
Use MATLABs built in functions only. Also, if you're facing issues while converting from ycbcr to rgb you should probably try to convert the image to other form and then convert that form to RGB. (a dirty hack)
Just divide the image by 256 before converting it back to RGB.
y = ycbcr2rgb(z/256); % z holds the YCbCr image.
Worked for me.
Hope that helps :)
I am working with MATLAB R2012b. I am trying to get 7 images to display on one figure but I can get the image that MATLAB to displays to look exactly like the original file. I set the color map to gray in hopes that you make it look the same but no its still different. I have included both the original and what I get from MATLAB so you can see what is happening.
Here is my code:
w8 = imread('Winter8','jpg');
subplot(2,4,1), image(w8);
title('Winter8.jpg');
axis('off','image');
colormap('gray');
truesize;
And here are the images:
Orirginal:
Result from MATLAB:
Thanks for you help.
imagesc seems to work better than image
imagesc(w8);
colormap('gray');
imagesc makes a nicer looking image in your case because you seem interested in using a gray color map as a filter. You can specify a range with clims, but you don’t have as much control as with image.
If you run colorbar on your figure, you’ll see what I’m talking about.
image would be better to use in a situation where you want much finer control over your data. For example, if you wanted to plot your data in true color instead of with a colormap, it would be easier to hack that together with the image function compared to the imagesc function because you wouldn’t be worried about scaling clims with a true color image.
I converted an RGB image (which is in double format) to a gray scale image of the same format using rgb2gray in Matlab. Now I want to convert the same image from gray to RGB. I used gray2rgb in Matlab but it's giving an error. So how can we convert a grayscale image to an RGB image using Matlab?
Short answer: you can't. Not perfectly at least.
As Sean says, this is because you have dropped some information when converting to grayscale. In other words, converting back from grayscale to RGB is an under-determined inverse problem, so there is no easy solution.
Now this doesn't mean you can't try. If you have some prior on the image, you can use it in addition to the information you have left to compute an estimate of the original RGB image.
For example if you know (or suppose) that the original image was already grayscale (in an RGB container) then you can reverse the process exactly. This is what the gray2rgb function Sean mentions is doing.
Most of these are open problems, so it's probably beyond what you want.
I'm sorry to say it's not possible.
By converting the image to grayscale you've reduced the amount of information (3 dimensions at each pixel down to 1) and this can't be recovered.
The rgb2gray function is one included in Matlab and works fine.
The gray2rgb function is not a standard Matlab function. If you are referring to this function on Matlab central, it's documentation states it doesn't do anything useful but just creates a 3d matrix from the 1d matrix; the image will still be grayscale.