DocumentCode :
2152745
Title :
A New Variable Precision Morphological Model for Eliminating Noises of Digital Images
Author :
Sun, Zhong-gui ; Chen, Jie ; Meng, Guang-wu
Volume :
3
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
236
Lastpage :
240
Abstract :
The successful application of morphological operators on several domains, along with the increasing need for processing digital images, have been the main motives behind the efforts concentrated on the morphological model. The morphological model provides a rich set of tools to process digital images: noise reduction, edge detection, segmentation, texture and shape analysis, etc. By defining the inclusion degree and the majority inclusion degree, a new variable precision morphological model is presented in this paper. Comparing with traditional morphological model, this new model is more flexible, and traditional morphological model is a special case for this. In the end, simulation results show that the new model is apparently more effective and more flexible than traditional model.
Keywords :
Digital images; Digital signal processing; Educational institutions; Electronic mail; Image processing; Mathematical model; Mathematics; Morphology; Software libraries; Sun; digital images; eliminating noises; inclusion degree; morphology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, China
Print_ISBN :
978-0-7695-3119-9
Type :
conf
DOI :
10.1109/CISP.2008.559
Filename :
4566480
Link To Document :
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