DocumentCode
176428
Title
Mixed noise reduction method based on fuzzy morphological filtering
Author
Zhu Youlian ; Huang Cheng ; Zhai Lifang ; Pan Lingjiao
Author_Institution
Sch. of Electr. & Inf. Eng., Jiangsu Univ. of Technol., Changzhou, China
fYear
2014
fDate
May 31 2014-June 2 2014
Firstpage
2970
Lastpage
2973
Abstract
To remove mixed noises from the image, we studied the noise reduction performance of fuzzy morphological filter and introduce a new method to reduce noise. Firstly, the method uses S-function to fuzz an image, and then do fuzzy morphological opening-closing operation with the fuzzed image. To improve the noise reduction performance, we adopt double structural elements which combined fuzzy square structural elements with fuzzy linear structural elements. Experiment show that the proposed method may effectively reduce impulse noise, Gaussian noise, and mixed noise. Especially, it has obvious advantages in dealing with the image that has serious impulse noise.
Keywords
Gaussian noise; filtering theory; fuzzy set theory; image denoising; impulse noise; white noise; Gaussian noise; S-function; double structural elements; fuzzy linear structural elements; fuzzy morphological filtering; fuzzy square structural elements; image denoising; impulse noise; mixed noise reduction method; Filtering theory; Gaussian noise; Morphological operations; Morphology; Noise reduction; Fuzzy Function; Image Noise Reduction; Morphological Filtering; Structural Element (SE);
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location
Changsha
Print_ISBN
978-1-4799-3707-3
Type
conf
DOI
10.1109/CCDC.2014.6852682
Filename
6852682
Link To Document