Images¶

This notebook shows usage for the Image type. This type is useful for loading single image files, reading the embedded metadata, and performing radiometric calibrations.

In [1]:
from micasense.image import Image
import os
import glob

%matplotlib inline

imagePath = os.path.join(".", "data", "ALTUM")
imageName = glob.glob(os.path.join(imagePath, "IMG_0021_1.tif"))[0]

img = Image(imageName)
img.plot_all();
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Image Histogram¶

In [2]:
import matplotlib.pyplot as plt
import cv2

nbins = 1024
vmin = 0
vmax = 2**16
bins = range(vmin, vmax, int(vmax / nbins))
hist = cv2.calcHist([img.raw().ravel()], [0], None, [nbins], [vmin, vmax])
plt.plot(bins, hist)
plt.xlim(img.raw().min(), img.raw().max())
plt.ylim(0, hist.max())
plt.xlabel("Pixel Value")
plt.ylabel("Frequency")
plt.show()
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Captures¶

Once you've mastered images, move on to groups of images, or Captures

Copyright (c) 2017-2019 MicaSense, Inc. For licensing information see the project git repository