Coherence enhancing diffusion filtering based on connected component analysis structure tensor

Hunjae Yoo, Bongjoe Kim, Kwanghoon Sohn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Coherence enhancing diffusion filtering deals with the problems of completion of interrupted line and enhancement of flow-like features such as fingerprints. It is steered by structure tensor which is generally calculated by component-wise convolving between gradient of an image and Gaussian kernel. However, the Gaussian kernel cannot preserve the image structure well. To handle this problem, we propose a novel structure tensor based on connected component analysis (CCA) and apply it to CED filtering. The CCA based structure tensor (CCA-ST) is constructed by combining Gaussian kernel and CCA map. Although CCA is a simple and intuitive method, the experimental results show that CCA-ST provides more faithful results than linear structure tensor.

Original languageEnglish
Title of host publicationProceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Pages271-274
Number of pages4
DOIs
Publication statusPublished - 2011
Event2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 - Beijing, China
Duration: 2011 Jun 212011 Jun 23

Publication series

NameProceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

Other

Other2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
CountryChina
CityBeijing
Period11/6/2111/6/23

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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