README.rst

tiffcapture

Provides a PIL based capture interface to multi-part tiffs, allowing them to be used more easily with OpenCV. This allows you to use OpenCV's image and video processing capabilities with tiff stacks, a video form frequently encountered in scientific video as it is lossless and supports custom metadata.

Examples

A minimal example looks like this:

import tiffcapture as tc
import matplotlib.pyplot as plt
tiff = tc.opentiff(filename)
plt.imshow(tiff.read()[1])
plt.show()
tiff.release()

More real world usage looks like this:

import tiffcapture as tc
import cv2
tiff = tc.opentiff(filename) #open img
_, first_img = tiff.retrieve()
cv2.namedWindow('video')
for img in tiff:
    tempimg = cv2.absdiff(first_img, img) # bkgnd sub
    _, tempimg = cv2.threshold(tempimg, 5, 255,
        cv2.THRESH_BINARY) # convert to binary
    cv2.imshow('video', tempimg)
    cv2.waitKey(80)
cv2.destroyWindow('video')