I have an image, I would like to apply median filtter on it to enhanessment this image and eiminate image noise.
I converted the image into three of 2D arrays , one for each band (Red, Grean,Blue).
I used the sort method and then got the (min) and max value.
Now I want to know: Is there a built-in function in java android studio to apply median on this arrays?
If there is no built-in function, Please help me with fill cod for median with the masks must applied on the images.
Thank you very much.
Related
I have a matrix with the following shape (20, 17) with rows being the time and columns the number of variables.
When i compute the correlation matrix using data.corr() naturally i get a (17 , 17) matrix.
My questions:
Is there a way to normalise the variables directly within the .corr() function? (i know i can do that before hand and then apply the function)
My correlation matrix is large and I have trouble viewing everything in one go (i have to scroll down to do the necessary comparison). Is there a way to present the results in a concise way (like a heat map) where i can easily spot the highest from the lowest correlation?
Many Thanks
You could use matplotlib's imshow() to see a heatmap of any matrix.
Also, consider using pandas dataframes, this way you could sort by correlation strength and keep the labels of each row and col.
I have the following original image:
and the cropped image:
I will like to obtain the left (a), right (c), upper (b) and lower shifts (d) from the original image to obtain the crop:
As of now, I can only think of matching the pixel array values (row and column-wise) and then subtracting the the overlapping pixel arrays coordinates from the original image's coordinates to get the shifts. However this approach seems computationally expensive and a search on 4 sides will have to be undertaken. Also if it helps, I do not have the transformations that led to the cropped image, and I'm assuming that there are no pixel value changes between the original and cropped image on regions of overlap.
Is there a more efficient approach for this? I'm not sure if there are existing built-in functions in OpenCV or other imaging libraries that can do this, so some insights on this will be deeply appreciated.
I work with glsl and try produce result of displaying one image above another. For example, I have two pixels let it be bg(146,108,147,255) and image(252,0,255,46) I need to implement this calculation in the shader and it should give me a result pixel that will be similar to the pixel if we draw one image after another. An image should be above bg. I try to found a formula to calculate it but formulas that I found do not produce the same result with paint.net, GPU, ... rendering.
As I know there should be a formula for this calculation
I am trying to display the physical quantity of each vertex in the mesh by paraview.
The ranges of the physical quantity ranges from positive to negative.
I want to display both positive and negative values in log scale in paraview in the same way as proposed by Alan in 2014.
That is
I propose that we find maxVal = max(maximum, abs(minimum)). Then, we set the color bar to run from maxVal to -maxVal. We log scale the top half of the color legend, running from maxVal to maxVal*10^-4, and we reverse log scale the bottom half of the color legend, running from -maxVal*10^-4 to -maxVal.
(As he said -4 is an arbitrary parameter.)
One question is that
I think this proposal has not implemented in paraview(I use version 5.2),
is it right?
And another question is that is there a way to draw colors as Alan proposed in paraview?
It has not been implemented as of ParaView 5.4, and it is currently not possible to achieve that coloring.
I have been looking around for a while and have not been able to find answers to the following issue that relate to subsetting.
I currently have many lines on a line graph and would only like 4 lines which demonstrate:
the lower quartile
the median
upper quartile
one additional line of the category that I choose
The amounts need to be dynamic and change according to other filters that I put on the graph
Box Whisker Plot gives Median,Upper Quartile and Lower Quartile values
You can also drag drag reference lines and bands into the view from the analysis tab