A parameterized logarithmic image processing method based on Laplacian of Gaussian filtering for lung nodules enhancement in chest radiographs
Bao Chen, Sheng Chen · 2013
The enhancement of lung nodules in chest radiographs plays an important role in computer-aided diagnosis, and is more useful for doctor observing and analyzing. In this paper, we introduce a parameterized logarithmic image processing (PLIP) method based on Laplacian of Gaussian (LoG) filtering to enhance lung nodules in chest radiographs. This method combines the advantages of both algorithms which can enhance the lung nodules in chest radiographs (CXRs) with better image contrast and edge information. By means of measure of enhancement by entropy evaluation (EMEE) objectively, the experimental results show that the proposed method gains an effective enhancement of lung nodules in CXRs.