Segmentation of Lung Nodules in CT scan Using Four Direction Thresholding Approach

Computed tomography technology is one of the important technology techniques, which shows the inside part of the human body through scanning the specific area. FDT Technique aims to augment the precision of the CT image thresholding by implementing an advanced thresholding approach from four different directions. Based on the FDT technique, the foreground and back ground pixel values of the adjacent pixel intensity value. Based on the intensity value, final decision is made based on all four directions. FDT method has been evaluated on different CT images with an aspect that the neighbor pixels in precision of thresholding. The effectiveness of FDT technique is demonstrated by means of the new approach Four Directional Thresholding (FDT) technique. This FDT technique segments the pulmonary parenchyma in ComputedTomography (CT) images using the Similarity-Based Segmentation (SBS). This FDT technique aims to augment the precision of the CT image thresholding by implementing an advanced thresholding approach from four different directions. In which the determination of pixels’ value as being either on foreground or background .With the phenomenon that background pixel’s intensity highly dependent on its adjacent value and the final decision is made based on all four directions’ thresholding results. In this study the precision of thresholding with FDT technique is implemented and the importance of neighbor pixels in it is demonstrated. The effectiveness of FDT method has been evaluated on different CT images. Index Terms – CT Images, FDT, Thresholding,