CODEWITHSUNDEEP
python-2.7matplotlibgrayscale
leb
leb

Reputation: 554

Making a subimage have the same intensity representation

I have two 16-bit grayscale images. One is a subimage of the bigger image. They are centred. bigger and the smaller notice, that the smaller looks slightly brighter.

When the two are displayed, the smaller looks brighter. Basically what I would like to do is them to keep the same grayscale value representation, i.e. I would like the smaller image have the same intensity appearance as the bigger one (since the GS intensity values in the respective pixels are the same). Any suggestions ?

for j in xrange(windows_a.shape[0]):
    print j

    pl.imshow(windows_a[j], interpolation='nearest') 
    pl.xticks(np.arange(0,window_size_1,1))
    pl.yticks(np.arange(0,window_size_1,1))
    pl.gray()
    pl.grid( color = 'y' ) 
    pl.savefig('./IW_small/IW_small_' + str("%05d" %i) + "_" + str("%05d" %j) + '.png')
    pl.close()   


    pl.imshow(windows_b[j], interpolation='nearest') 
    pl.xticks(np.arange(0,window_size_2,1))
    pl.yticks(np.arange(0,window_size_2,1))    
    pl.gray()
    pl.grid( color = 'y' ) 
    pl.savefig('./IW_big/IW_big_' + str("%05d" %i) + "_" + str("%05d" %j) + '.png') 
    pl.close()

Upvotes: 1

Views: 204

Answers (1)

David Zwicker
David Zwicker

Reputation: 24298

You may set the intensity values yourself using the vmin and vmax arguments of the imshow function:

for j in xrange(windows_a.shape[0]):
    print j

    vmin, vmax = windows_b[j].min(), windows_b[j].max()

    pl.imshow(windows_a[j], vmin=vmin, vmax=vmax, interpolation='nearest') 
    pl.xticks(np.arange(0,window_size_1,1))
    pl.yticks(np.arange(0,window_size_1,1))
    pl.gray()
    pl.grid( color = 'y' ) 
    pl.savefig('./IW_small/IW_small_' + str("%05d" %i) + "_" + str("%05d" %j) + '.png')
    pl.close()   


    pl.imshow(windows_b[j], vmin=vmin, vmax=vmax, interpolation='nearest') 
    pl.xticks(np.arange(0,window_size_2,1))
    pl.yticks(np.arange(0,window_size_2,1))    
    pl.gray()
    pl.grid( color = 'y' ) 
    pl.savefig('./IW_big/IW_big_' + str("%05d" %i) + "_" + str("%05d" %j) + '.png') 
    pl.close()

Additionally, I would recommend to use the interpolation='none' argument, since that usually works better with vector graphics. This doesn't make a difference for you PNG file, though.

Upvotes: 4

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