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Lung Nodule Detection in CT Images using Neuro Fuzzy Classifier

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Academic year: 2017

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Figure 2. Flow diagram of proposed system
Figure 4. Sobel Filter (a). vertical, (b).horizontal
Figure 5. Post processing Enhancement: (a). Morphological Operations, (b). Border DetectedImage, (c)
Table 1. Comparison of proposed method with existing techniques

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1. PROPOSED METHOD ABSTRACT CANCER DETECTION USING WATERSHED SEGMENTATION DEMARCATION OF LUNG LOBES IN CT SCAN IMAGES FOR LUNG

It can be seen that both methods are able to detect the lung lobes but with the proposed modified watershed method the resultant image is better, the edge is smoother the region between

1. PROPOSED METHOD ABSTRACT CANCER DETECTION USING WATERSHED SEGMENTATION DEMARCATION OF LUNG LOBES IN CT SCAN IMAGES FOR LUNG

It can be seen that both methods are able to detect the lung lobes but with the proposed modified watershed method the resultant image is better, the edge is smoother the region between