Join GitHub today
GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
Sign up[gsoc2019] Implement adaptive mean thresholding #315
Closed
Assignees
Comments
miralshah365
added a commit
to miralshah365/gil
that referenced
this issue
Jul 22, 2019
closes boostorg#315
miralshah365
added a commit
to miralshah365/gil
that referenced
this issue
Jul 22, 2019
closes boostorg#315
miralshah365
added a commit
to miralshah365/gil
that referenced
this issue
Jul 23, 2019
closes boostorg#315
miralshah365
added a commit
to miralshah365/gil
that referenced
this issue
Jul 23, 2019
closes boostorg#315
miralshah365
added a commit
to miralshah365/gil
that referenced
this issue
Jul 23, 2019
closes boostorg#315
miralshah365
added a commit
that referenced
this issue
Jul 25, 2019
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
TODO: Description what is planned
References
List of papers and other documentation about algorithm(s) for the adaptive average thresholding:
Adaptive Thresholding Using the Integral Image by Derek Bradley, Gerhard Roth (ACM Journal of Graphics Tools, 2007)
Hypermedia Image Processing Reference: Adaptive Thresholding by Robert Fisher et.al (University of Edinburgh)
Image Processing using 2D-Convolution for neighborhood averaging operation explained by Glen Williamson
https://docs.opencv.org/4.1.0/d7/d4d/tutorial_py_thresholding.html with
cv.adaptiveThresholdfunctionhttp://hanzratech.in/2015/01/21/adaptive-thresholding.html explains based on OpenCV