DocumentCode :
676806
Title :
Image denoising and enhancement for lung cancer detection using soft computing technique
Author :
Yuvarani, P.
Author_Institution :
M.Kumarasamy Coll. of Eng., Karur, India
fYear :
2012
fDate :
27-29 Dec. 2012
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents a new denoising and enhancement method using k-fuzzy rules based fuzzy filter. Fuzzy filter is very good tool for efficient denoising and enhancement. Then the Mean Square Error (MSE) has been estimated for various filtering techniques. It was also found that the Fuzzy Filter provides the MSE of 27.63915 for 0.01 dB.
Keywords :
computerised tomography; filtering theory; fuzzy logic; fuzzy set theory; image denoising; image enhancement; medical image processing; object detection; CT scan; MSE; filtering techniques; image denoising method; image enhancement method; lung cancer detection; mean square error; noise figure 0.01 dB; soft computing technique; Denoising; Enhancement; Fuzzy filter;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Sustainable Energy and Intelligent Systems (SEISCON 2012), IET Chennai 3rd International on
Conference_Location :
Tiruchengode
Electronic_ISBN :
978-1-84919-797-7
Type :
conf
DOI :
10.1049/cp.2012.2179
Filename :
6719085
Link To Document :
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