Abstract
This paper proposes an automatic lung lobe segmentation method in a supervised way. The lung image is given as input and the lung image is segmented using iterative threshold method. Then fissure information is enhanced using log supportive filter. Then Fissure locations are extracted using Vector training and matching process. Finally the lung lobes are segmented and marked as individual lobes. The main modules of this proposed method are Iterative threshold based lung segmentation, Fissure enhancement, fissure detection and Lung lobe segmentation. This proposed method can be used to find the missing fissures and unclear fissures also. This proposed method is working based on training of fissure information and detection is done according to the trained vectors. The proposed method segments the lung lobes with high performance and high speed.
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