Coherence enhancing diffusion filtering based on connected component analysis structure tensor

Hunjae Yoo; Bongjoe Kim; Kwanghoon Sohn

doi:10.1109/ICIEA.2011.5975593

Coherence enhancing diffusion filtering based on connected component analysis structure tensor

Hunjae Yoo, Bongjoe Kim, Kwanghoon Sohn

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 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 language	English
Title of host publication	Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Pages	271-274
Number of pages	4
DOIs	https://doi.org/10.1109/ICIEA.2011.5975593
Publication status	Published - 2011
Event	2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 - Beijing, China Duration: 2011 Jun 21 → 2011 Jun 23

Publication series

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

Other

Other	2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011
Country/Territory	China
City	Beijing
Period	11/6/21 → 11/6/23

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Industrial and Manufacturing Engineering

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10.1109/ICIEA.2011.5975593

Cite this

Yoo, H., Kim, B., & Sohn, K. (2011). Coherence enhancing diffusion filtering based on connected component analysis structure tensor. In Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 (pp. 271-274). Article 5975593 (Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011). https://doi.org/10.1109/ICIEA.2011.5975593

@inproceedings{a5440315e2084d53a1006bd2f4e6638d,

title = "Coherence enhancing diffusion filtering based on connected component analysis structure tensor",

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.",

author = "Hunjae Yoo and Bongjoe Kim and Kwanghoon Sohn",

year = "2011",

doi = "10.1109/ICIEA.2011.5975593",

language = "English",

isbn = "9781424487554",

series = "Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011",

pages = "271--274",

booktitle = "Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011",

note = "2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011 ; Conference date: 21-06-2011 Through 23-06-2011",

}

Yoo, H, Kim, B & Sohn, K 2011, Coherence enhancing diffusion filtering based on connected component analysis structure tensor. in Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011., 5975593, Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011, pp. 271-274, 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011, Beijing, China, 11/6/21. https://doi.org/10.1109/ICIEA.2011.5975593

Coherence enhancing diffusion filtering based on connected component analysis structure tensor. / Yoo, Hunjae; Kim, Bongjoe; Sohn, Kwanghoon.
Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011. 2011. p. 271-274 5975593 (Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Coherence enhancing diffusion filtering based on connected component analysis structure tensor

AU - Yoo, Hunjae

AU - Kim, Bongjoe

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N2 - 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.

AB - 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.

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T3 - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

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BT - Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

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Yoo H, Kim B, Sohn K. Coherence enhancing diffusion filtering based on connected component analysis structure tensor. In Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011. 2011. p. 271-274. 5975593. (Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011). doi: 10.1109/ICIEA.2011.5975593

Coherence enhancing diffusion filtering based on connected component analysis structure tensor

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