Title :
Image denoising algorithm based on the median morphological filter
Author :
Zhu, Youlian ; Huang, Cheng ; Xu, Zhihuo
Author_Institution :
Coll. of Electron. Inf. Eng., Jiangsu Teachers Univ. of Technol., Changzhou
Abstract :
With respect to the instance of image denoising by morphological filter that causes useful information missing, a new median morphological filter algorithm is presented. The algorithm does the median value operation through erosion and dilation operations, improves and optimizes structuring element units. The experiment proves that the new method overcomes the inherent inadequate of traditional morphological limit operation, and effectively removes the impulse noise of image; especially in low signal to noise ratio environment, the denoising performance has obvious advantages than the traditional morphological filter and median filter algorithms. Therefore, it has a broad application prospect in image processing.
Keywords :
image denoising; mathematical morphology; median filters; image denoising algorithm; image processing; mathematical morphology; median morphological filter; median value; Automation; Educational institutions; Image denoising; Image processing; Information filtering; Information filters; Intelligent control; Noise reduction; Signal to noise ratio; Working environment noise; image de-noising; mathematical morphology; structuring element unit (SEU);
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
DOI :
10.1109/WCICA.2008.4593567