Performance Evaluation of Filtering Techniques For Cancerous Lung Images

Lung diseases in India are increasing year by year. Respiratory diseases like asthma, chronic obstructive Interstitial Lung Disease (ILD),pulmonary disease (COPD), pneumonia, tuberculosis (TB) and cancer are most common and major health problems. As per a report given by the WHO the deaths due to lu...

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Bibliographic Details
Published in:International journal of advanced networking and applications 2017-01, Vol.8 (4), p.20-22
Main Authors: Nigudgi, Surekha, Patil, G M, Ummer, Dinshid T, Prathibha, H M
Format: Article
Language:English
Subjects:
Asthma
Bacterial diseases
Embedded systems
Fatalities
International conferences
Lung cancer
Lung diseases
Medical diagnosis
Medical imaging
Performance evaluation
Respiration
Respiratory diseases
Signal processing
Signal to noise ratio
Tumors
Wiener filtering
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Summary:Lung diseases in India are increasing year by year. Respiratory diseases like asthma, chronic obstructive Interstitial Lung Disease (ILD),pulmonary disease (COPD), pneumonia, tuberculosis (TB) and cancer are most common and major health problems. As per a report given by the WHO the deaths due to lung diseases in India are on a rise which accounts for 11% of the total deaths. As many as 142.09 in every 1 lakh, die of one form or other form of lung disease giving India the distinction of ranking first in lung disease deaths in the world. This paper presents a method for performance evaluation of various filters by calculating the SNR values for lung cancer X-ray images. LPF, HPF, Median, Wiener filter is applied on a set of cancerous lung X-ray images. The results obtained show that Wiener filter outperforms the other filters based on the SNR values.
ISSN:0975-0290
0975-0282