Title :
Multi-sale morphological filtering method for preserving the details of images
Author :
Guan Mingshan ; Ren Hong´e ; Ma Yan
Author_Institution :
Dept. of Comput. & Inf. Eng., Heilongjiang Inst. of Sci. & Technol., Harbin, China
Abstract :
A multi-sale morphological filtering method for preserving the details of images (MMFPD) was applied by adding the multi-scale top-hat transformation and bottom-hat transformation to the conventional multi-sale morphological opening and closing filtering. The two added transforms were used to extract and smooth the features which are smaller than the current scale. It was found that the smaller features have greater possibility to contain noise particles. Accordingly, the coefficients of top-hat transformation and bottom-hat transformation were modified. Simulation results on the standard gray-level images show that the method can effectively remove noise and preserve the details of images completely, and demonstrate better performance than the conventional filtering methods.
Keywords :
filtering theory; image processing; mathematical morphology; bottom hat transformation; contain noise particles; conventional filtering methods; gray level images; image details preservation; multisale morphological closing filtering; multisale morphological filtering method; multisale morphological opening filtering; multiscale tophat transformation; Educational institutions; Electronic mail; Filtering theory; Image processing; Information filtering; Information filters; Mean square error methods; Morphology; Nonlinear filters; Wiener filter; bottom-hat transformation; mathsmatical morphologic; multi-Scale; top-hat transformation;
Conference_Titel :
Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4606-3
DOI :
10.1109/PACIIA.2009.5406568
