:: Sai Chaitanya Gaddam | Code ::

Relevant Publications

CONFIGR: CONtour FIgure and GRound

CONFIGR (CONtour FIgure and GRound) is a model that performs long-range contour completion on large-scale images. CONFIGR accomplishes this through a mechanism that fills-in both figure and ground via complementary process.

Figure: CONFIGR completions (blue) on road pixels (red) extracted from a benchmark image.

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Source code and test images for CONFIGR:

Algorithm Pseudocode is available here. MATLAB source code and test images for the CONFIGR system are available in Zipped format here. For a C++ port of this code, click here. A test image file enables replication of most examples described in the CONFIGR article.

Parameter selection:

CONFIGR is fully specified by choosing one free parameter, namely, the size of the smallest independent unit (pixel) in a given image. This parameter can be specified according to the comments included in the source code header. Image inputs must be binary.

Reference:

Carpenter, G. A., Gaddam, C. S., & Mingolla, E. (2007). CONFIGR: A vision-based system for long-range figure completion. Neural Networks, 20(2007) 1109-1131. Technical Report CAS/CNS TR-2007-016, Boston, MA: Boston University.
http://cns.bu.edu/~gail/CONFIGR_TR-2007-016_.pdf

Disclaimer:

This software is provided free of charge. As such, the authors assume no responsibility for the programs' behavior. While they have been tested and used in-house for three years, no claim is made that CONFIGR implementations are correct or bug-free. They are used and provided solely for research and educational purposes. No liability, financial or otherwise, is assumed regarding any application of CONFIGR.

Feedback:

Have questions? Found a bug? Please send comments to: CONFIGR@cns.bu.edu

Research Nuggets

CONFIGR:
CONFIGR is a first-generation neural model for contour interpolation.