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.

from micasense.image import Image
import os, glob
%matplotlib inline

imagePath = os.path.join('.','data','0000SET','000')
imageName = glob.glob(os.path.join(imagePath,'IMG_0000_1.tif'))[0]

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

Image Histogram¶

import numpy as np
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()

Captures¶

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