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Simplified version of pb-lite boundary detection algorithm, which finds boundaries by examining brightness, color, and texture information across multiple scales (different sizes of objects/image) by using filter banks.

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saurabhp369/pb_lite_edge_detection

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Probability based edge detection algorithm

Necessary packages:- OpenCV Numpy Sklearn Scipy Matplotlib

To run the code:-

Run the following command

    python3 Wrapper.py

Filters used:

Gabor Filters:

DoG filter:

Half discs filter

Original Image

Texton, Brightness and color map

Final output

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Simplified version of pb-lite boundary detection algorithm, which finds boundaries by examining brightness, color, and texture information across multiple scales (different sizes of objects/image) by using filter banks.

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