Improved coherence-enhancing diffusion with hybrid diffusion tensor

Author

Chen, Xiaoguang ; Du, Xiaolan ; Lv, Zhongnan

Author_Institution

Inst. of Image Process. & Pattern Recognition, North China Univ. of Technol., Beijing, China

fYear

2011

fDate

26-28 July 2011

Firstpage

380

Lastpage

383

Abstract

Coherence-enhancing diffusion (CED), based on analysis of oriented structures, has been extensively used in image processing. This diffusion filtering can keep some junctions and close broken linear structures, but it also destroys crease points and deforms nonlinear structures. In this paper, we proposed an improved algorithm for CED based on analysis of structure tensor and Hessian matrix. This approach can not only denoise and enhance linear structures such as edges, but also preserve nonlinear structures such as creases. Experiments with fingerprint image show that the improved CED outperforms classical CED.

Keywords

Hessian matrices; filtering theory; fingerprint identification; image enhancement; tensors; Hessian matrix; coherence-enhancing diffusion improvement; diffusion filtering; fingerprint image; hybrid diffusion tensor; image processing; linear structures; nonlinear structures; oriented structure analysis; structure tensor; Algorithm design and analysis; Coherence; Filtering; Fingerprint recognition; Image edge detection; Junctions; Tensile stress; crease; diffusion tensor; nonlinear diffusion; structure tensor;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Technology (ICMT), 2011 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-61284-771-9

Type

conf

DOI

10.1109/ICMT.2011.6003035

Filename

6003035