Want gray scale image of a matrix in matlab

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SUMMARY

The discussion focuses on generating a gray-scale image from a 2000x2000 matrix in MATLAB using the mat2gray and imshow commands. Users encounter a limitation where imshow can only display images of approximately 500x500 pixels, resulting in a warning message about image size. To retain full resolution, suggestions include writing the matrix to a file and utilizing imwrite for exporting the data, or using external tools like Gnuplot for visualization.

PREREQUISITES
  • Familiarity with MATLAB programming environment
  • Understanding of matrix manipulation in MATLAB
  • Knowledge of image processing functions such as imshow and imwrite
  • Basic understanding of gray-scale image representation
NEXT STEPS
  • Explore the imwrite function for saving images in MATLAB
  • Research Gnuplot for visualizing large datasets
  • Learn about MATLAB's image processing toolbox for advanced techniques
  • Investigate methods for optimizing image display settings in MATLAB
USEFUL FOR

MATLAB users, data scientists, and researchers needing to visualize large matrices in gray-scale format without losing resolution.

beman
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I am creating a gray-scale image of a 2000*2000 matrix using mat2gray and imshow command.But highest number of matrix entries that imshow can implement is 500*500 approximately.After that it shows------

"Warning: Image is too big to fit on screen; displaying at 8%
> In imuitools\private\initSize at 72
In imshow at 259 "

I know what is going on here but I want my all 2000*2000 matrix entries to be plotted in gray-scale. Is there any possible way?Please suggest some easy way because I am new in matlab.
 
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You could reduce your 2000x2000 to a 500x500 array by taking every fourth element or better yet average the elements in a 4x4 square to be the single element in the 500x500 image.
 
No I want full resolution.Because for 500*500 case boundaries in image is not sharp enough for experimental purpose.
 
If you can write the matrix to a file you can use gnuplot.
Not sure which functions you should/could use but it's possible. (I used it once for a simulation of the Ising model)
 

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