An Adaptive Morphology Template Methods for Correcting Lung Juxtapleural Nodules Regions in CT Images

摘要

Lung juxtapleural nodule regions are often excluded from the extracted lung region by the intensity informationbasedmethods. In order to solve this problem, an adaptive morphology template method is proposed. First of all, theSIFT information is used to extract some feature points in the borderline. Then, the Fourier descriptor is introduced toidentify those juxtapleural nodule regions from all borderline sections. Finally, adaptive morphology templates are usedto correct the recognized region. Through the experiments on real CT slices, perfect correction effect proves that theproposed model has a good power of re-correction for CT images.