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Scipy: convert RGB TIFF to grayscale TIFF and output it to Matplotlib

I want to manipulate RGB groups in a TIFF file and display the map in grayscale on matplotlib. So far I have this code, but I could not get it in shades of gray:

import scipy as N
import gdal
import sys
import matplotlib.pyplot as pyplot

tif = gdal.Open('filename.tif')

band1 = tif.GetRasterBand(1)
band2 = tif.GetRasterBand(2)
band3 = tif.GetRasterBand(3)


red = band1.ReadAsArray()
green = band2.ReadAsArray()
blue = band3.ReadAsArray()

gray = (0.299*red + 0.587*green + 0.114*blue)

pyplot.figure()
pyplot.imshow(gray)
pylab.show()

And these are arrays:

[[255 255 255 ..., 237 237 251]
 [255 255 255 ..., 237 237 251]
 [255 255 255 ..., 237 237 251]
 ..., 
 [237 237 237 ..., 237 237 251]
 [237 237 237 ..., 237 237 251]
 [242 242 242 ..., 242 242 252]]

[[255 255 255 ..., 239 239 251]
 [255 255 255 ..., 239 239 251]
 [255 255 255 ..., 239 239 251]
 ..., 
 [239 239 239 ..., 239 239 251]
 [239 239 239 ..., 239 239 251]
 [243 243 243 ..., 243 243 252]]

[[255 255 255 ..., 234 234 250]
 [255 255 255 ..., 234 234 250]
 [255 255 255 ..., 234 234 250]
 ..., 
 [234 234 234 ..., 234 234 250]
 [234 234 234 ..., 234 234 250]
 [239 239 239 ..., 239 239 251]]

Any idea how I can fix this?

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1 answer

I don't have gdal, but a similar approach using PIL looks like this:

import numpy as np
import Image
import matplotlib.pyplot as pyplot

img = Image.open("/Users/travis/Desktop/new_zealand.tif")

img.getdata()
r, g, b = img.split()

ra = np.array(r)
ga = np.array(g)
ba = np.array(b)

gray = (0.299*ra + 0.587*ga + 0.114*ba)

pyplot.figure()
pyplot.imshow(img)
pyplot.figure()
pyplot.imshow(gray)
pyplot.figure()
pyplot.imshow(gray, cmap="gray")

This may be a simple question: install a color map on something other than the standard ("reactive") to get what you want, but I'm not sure what you see.

, ( , - , ):

first figure

second figure

third figure

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