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Robust cost function for designing chamfer masks

version 1.1 (4.44 MB) by Baraka Maiseli
This submission implements a robust cost function for designing chamfer masks

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Updated 03 Apr 2017

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In this submission, we have implemented a robust optimization rule (cost function) that helps to design optimal chamfer weights for sequential distance transforms. The proposed cost function, called RLog, takes the absolute logarithm of the ratio between the measured and reference distance values. Also, the submission includes functions to generate integer-valued chamfer masks.
The corresponding paper for this submission is currently under peer-review.

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Updates

1.1

Renamed images in the ../datasets file to reflect the names used in the manuscript, "Robust cost function for optimizing chamfer masks", which has been submitted to The Visual Computer Journal for consideration.

MATLAB Release Compatibility
Created with R2016a
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: PlotPub - Publication Quality Graphs in MATLAB

chamferMasksDesign/computeIntegerWeights/

chamferMasksDesign/computeLimitsLocalWeights/

chamferMasksDesign/computeLobesAndEdgeGeometry/

chamferMasksDesign/computeMAE.SMAPE.RLog/

chamferMasksDesign/libPlot/

chamferMasksDesign/main/

chamferMasksDesign/mask33/

chamferMasksDesign/mask55/

chamferMasksDesign/mask77/