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A Pseudo-Boolean Polynomials Approach for Image Edge Detection

arXiv 2308.15557 ↗First posted 29 Aug 2023cs.CV cs.DMcited by 0

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Abstract (arXiv)

We introduce a novel approach for image edge detection based on pseudo-Boolean polynomials for image patches. We show that patches covering edge regions in the image result in pseudo-Boolean polynomials with higher degrees compared to patches that cover blob regions. The proposed approach is based on reduction of polynomial degree and equivalence properties of penalty-based pseudo-Boolean polynomials.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 34 references that are in the map. First posted on arXiv 29 Aug 2023.

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References · 4

  1. 2021A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approachescited by 20
  2. 2022A Feature Memory Rearrangement Network for Visual Inspection of Textured Surface Defects Toward Edge Intelligent Manufacturingcited by 16
  3. 2020Quantifying Explainability of Saliency Methods in Deep Neural Networks with a Synthetic Datasetcited by 14
  4. 2013Performing edge detection by difference of Gaussians using q-Gaussian kernelscited by 3

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