GitHub - AbdullahAshfaq/Local-Thresh-xilinxHLS: Designing local adaptive thresholding using integral images from scratch. "Efficient Implementation of Local Adaptive Thresholding Techniques Using Integral Images" by Faisal Shafait, Daniel Keysers, Thomas M. Breuel was used as guideline.

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Designing local adaptive thresholding using integral images from scratch. "Efficient Implementation of Local Adaptive Thresholding Techniques Using Integral Images" by Faisal Shafait, Daniel Keysers, Thomas M. Breuel was used as guideline.

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
Readme		Readme
core.cpp		core.cpp
mod_core.cpp		mod_core.cpp
summation.cpp		summation.cpp
summation.h		summation.h
testsummate.cpp		testsummate.cpp

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Run testsummate.cpp to test the IP core.
The code outputs the correct result. Opencv is used to view the original and binarized image


Problems:
1. To accomodate for images, large variables had to be defined
2. Means and standard deviations are in floating points adding to the required resources.

To Do:
1. Reduce usage of variables.