Reconstruction of Connected Digital Lines Based on Constrained Regularization-Reference-Cited by-同舟云学术

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Reconstruction of Connected Digital Lines Based on Constrained Regularization

Published:2022 Issue: Volume:31 Page:5613-5628
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Lashgari Mojtaba¹^ORCID,Rabbani Hossein¹^ORCID,Plonka Gerlind²^ORCID,Selesnick Ivan³^ORCID

Affiliation:

1. Medical Image and Signal Processing Research Center, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran

2. Institut für Numerische und Angewandte Mathematik, Universität Göttingen, Göttingen, Germany

3. Department of Electrical and Computer Engineering, New York University, Brooklyn, NY, USA

Funder

Vice Chancellery for Research and Technology of Isfahan University of Medical Sciences

Alexander von Humboldt Foundation under Georg Forster Fellowship for Experienced Researchers

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9626658/09858669.pdf?arnumber=9858669

Reference63 articles.

1. Locating Object Boundaries in Textured Environments

2. Template based method of edge linking using a weighted decision

3. A Gaussian mixture model for edge-enhanced images with application to sequential edge detection and linking

4. Multiresolution sequential edge linking

5. A path metric for sequential search and its application in edge linking

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