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cce1449a9a
Modifies code to accept any encoding depth. Updates tests to fit with code modifications. Adds example in order to present a strange case with different encoding depth and actual pixel values. Adds an image that fits with the example Reported-by: Julien Lengrand-Lambert Signed-off-by: Julien Lengrand-Lambert <julien@lengrandlambert.fr>
44 lines
1.4 KiB
Python
44 lines
1.4 KiB
Python
'''
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Created on Dec 15, 2011
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@author: Julien Lengrand-Lambert
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@email: julien@lengrand.fr
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---
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Here is a simple example of an histogram calculation on a grayscale image in
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Python.
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The histogram calculation is performed using the OpenCV library. In order to
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simplify the process, an Histogram class has been created, which contains all
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necessary data for a proper output image creation.
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The final output is a list of IplImages in this script. Each item is a graphical
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representation of teh histogram result for one channel.
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To end the script, the user simply needs to hit a keyboard key with the input
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image in the foreground.
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'''
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import cv
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import tippy.statistics as st
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import tippy.display_operations as do
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# test with 8 bits color image
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img_name = "tippy/data/tippy.jpg"
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img = cv.LoadImage(img_name, cv.CV_LOAD_IMAGE_COLOR)
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hist = st.Histogram(img)
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imgs = hist.to_images() # list of Red, Green, Blue channels
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do.display_single_image(imgs[2], "Blue channel histogram of the tippy image")
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# test 16 bits histogram, with 4096 range
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# special tortuous case :
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# 12 bits encoded image
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# Taken as 16 bits image, only histogram range to be changed.
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img_name = "tippy/data/peaks.tif"
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img = cv.LoadImage(img_name, cv.CV_LOAD_IMAGE_UNCHANGED)
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img_depth = 12
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hist = st.Histogram(img, img_depth)
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tables = hist.to_tables() # list of values. Only one item in list
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print max(tables[0]) # search for the max value of histogram
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