This repository contains four proposed algorithmic pixel level segmentation approaches for ashlar wall depth maps. The following approaches are used and contained in the corresopnding jupyter notebook file titles: Gaussian wavelet segmentation (Order 1 and Order 4); Adaptive Thresholding; Mexican Hat wavelet segmentation (Ricker)
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CyberbuildLab/Pixel-Level-Semantic-Segmentation-Ashlar
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