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Nt1310 Unit 3 Lab Report

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The fig3 shows a set of lung CT images in JPEG format of size 512 x 512 is considered for study of the system

Fig3 lung image

There is a presence Gaussian noises in the lung image because of human breathing there are different filters are used to remove the Gaussian noise. Mainly three different filters are used to remove the Gaussian in lung images. The SNR (Signal to Noise Ratio).is gets calculated. The better filter chooses by SNR value.

Table1 Noise Comparison Table
Image Name Gaussian Filter Median Filter Wiener Filter
1 3.9DB 3.2DB 4.9DB
2 3.4DB 3.5DB 4.8DB
3 3.9DB 3.3DB 4.8DB
4 4.0DB 3.0DB 4.9DB
5 3.5DB 3.4DB 4.8DB
6 3.7DB 3.3DB 5.0DB
7 3.6DB 3.2DB 4.8DB
8 3.3DB 3.3DB 4.6DB
9 3.7DB 3.5DB 4.8DB
10 3.9DB 3.1DB 4.9DB

The lung regions of the denoised CXRS images are separated from the rest of the anatomical structures by applying graph cut segmentation operations as shown in fig4

Fig4 segmented lungs

EXPERIMENTAL ANALYSIS …show more content…
Lung classified by the system as normal/abnormal classified as positive by the expert are true positives. Nodules classified by the system as normal/abnormal and classified as negative byte expert are false positives. The performance measures of the system such as specificity, accuracy, sensitivity calculated using equations 3 To 4. The performance measures of the proposed system are presented in table

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