histogram overlayed inside pytorch tensor image - image

I have a pytorch tensor image. I want to find the histogram for each channel and overlay the histogram image on top of the original image (in a corner). It would be useful if I can get the overlayed image as a tensor itself. How can I get that?
There is a longer way of doing this by first getting the histogram, save the histogram as image, read the histogram image as tensor, then replace a region of the original tensor image with the read histogram image tensor.
There has to be an easier way than this.

Related

Why does images look with same intensity though they have different pixel values?

I have read an image using skimage library. Then I diving each and every pixel value of the image by 1000 and then displayed the image. Both the images look exactly the same with no difference in intensity. Why does two images with different pixels values(though they are in proportion) look same?

Writing an image

I have an image as a result of an algorithm, that, when I want to imshow, I have to type the following:
imshow(img,[])
or, otherwise, I get a blank image.
How can I imwrite such image, as if I use imwrite(img, 'img.png','png'), I get a blank image.
Thanks.
This is due to clipping of the pixel intensity. When you display with [] as the range, imshow automatically scales the intensity to the full range.
Try:
imwrite(imadjust(img), 'img.png', 'png');

View pixel intensities of an image

How to view the pixel intensities of an image in matlab by moving the mouse pointer over the image?
I used:
imshow(imread('image.jpg'));
But there is no option to view the pixel intensities of each pixel in the image.
For example,
In MS-paint, while moving the mouse pointer
over the image we can see the location of
the pixel such as (20, 117) at the status bar.
But I need to see the pixel intensity instead.
Is there any other option to view it. Or I need to code to view it?
One other option which is more interactive is
imtool(imread('image.jpg')); % For GrayScale Image
imtool(rgb2gray(imread('image.jpg'))); % For RGB Image
If you want to create an intensity map, you can use MATLAB's rgb2gray. This will convert the n-by-m-by-3 RGB array you got from imread to an n-by-m matrix which contains the pixel intensities.
You can then point the interactive data cursor to this intensity matrix for the current mouse coordinates.
you have impixelinfo and impixelinfoval for showing interactive information.

How do I calibrate RGB Image with Depth Image taken using Kinect (X-box)?

I need to map Depth Image that I got from Kinect (X-box) to RGB image (taken from kinect). The problem is that the depth image size is different from that of the RGB image. And I want to calibrate these images and get their pixels. How do I calibrate them? I want the exact same size for both of the images. And the object in the depth image should map on the object in the rgb image.

How to convert gray scale image which assigned threshhold value in some pixel of original RGB image to RGB?

I have original RGB image.
then, I convert it to gray scale.
then, I assign new threhold value into some pixel.
then, I need to convert the gray scale image from step#3 to RGB image.
I am trying on the step#4. Could you help to advise?
Check out rgb2hsv and hsv2rgb in matlab. Then threshold on the value matrix. This makes more sense to me.
Another possibility is to convert to grey scale but keep the original colour image. Then create a mask by thresholding the grey scale image and use that mask to discard the pixels above/below your threshold on the colour matrix.

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