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25 lines
1.0 KiB
Markdown
25 lines
1.0 KiB
Markdown
# Harris Corner Detection
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Harris corner detection capabilities in GIL are demonstrated by the program `harris`, compiled from the sources `example/harris.cpp` and `hvstack.hpp`.
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## Synopsis
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`harris input.png window-size discriminant harris-threshold output.png`
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- The first parameter must be the full path to an existing image in the PNG format for `harris` to process
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- The second parameter is the size of the window containing the pixels to analyse and must be an odd number (e.g. 9 for a 3x3 matrix)
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- The third parameter is the empirically-defined discriminant constant, usually between 0.04 and 0.06
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- The fourth parameter is the harris threshold used to identify the optimal values
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- The fifth and last parameter is the full path to the output image of `harris`. The directory will *not* be created and must exist.
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## Specific requirements
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### Build requirements
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- A C++ compiler compliant with C++14 or above
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- The PNG library installed and configured
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### Execution requirements
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- `harris` has no specific execution requirements.
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