SEGMENTATION OF LUNG CT IMAGES AND NODULE DETECTION WITH MATLAB
SEGMENTATION OF LUNG CT IMAGES AND NODULE DETECTION WITH MATLAB Segmentation of Lung CT Images and Nodule Detection with MATLAB In this study, segmentation of lung CT images from medical images is described. Segmentation is the first and most important step in image processing. The high error in segmentation will also affect the subsequent image processing stages, especially in biomedical images. For this reason, it is very important to make the segmentation with the least mistake. -According to the discontinuities in the gray level values, the basic approach in the image segmentation problem is to divide a view based on the sudden changes in the gray levels which is against edge detection. -Image segmentation according to similarities in gray level values is called region segmentation and is based on thresholding, growing, and split-and-merge operations. Based on similarities or differences in the gray l...