DocumentCode
2860744
Title
Threshold Estimation Based on Perona-Malik Model
Author
Shao, Hui ; Zou, Hailin
Author_Institution
Sch. of Comput. Sci. & Technol., Ludong Univ., Yantai, China
fYear
2009
fDate
11-13 Dec. 2009
Firstpage
1
Lastpage
4
Abstract
The selectivity of diffusion mechanism and parameters is the key in the field of image nonlinear diffusion filtering based on Perona-Malik model. The threshold estimation of the diffusion function depends mainly on the experience in the existing methods. In this paper, the relationship between the image features, the noise variance and the threshold are analyzed, and a new threshold estimation method is proposed, the test results show it is effective.
Keywords
filtering theory; image denoising; Perona-Malik model; diffusion mechanism selectivity; image denoising; image features; image nonlinear diffusion filtering; noise variance; threshold estimation method; Analysis of variance; Anisotropic magnetoresistance; Computer science; Filtering; Image analysis; Image processing; Noise reduction; Nonlinear equations; Smoothing methods; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4507-3
Electronic_ISBN
978-1-4244-4507-3
Type
conf
DOI
10.1109/CISE.2009.5366025
Filename
5366025
Link To Document