Research Article | Open Access
SEGMENTATION OF LUNG CANCER IMAGES WITH THRESHOLD TECHNIQUE COMPARED WITH KMEANS CLUSTERING
T Pavan kumar , Radhika Baskar
Pages: 5714-5722
Abstract
Aim: The main aim of the study is lung tumor segmentation, which is used to detect a tumor in lung CT images with the proper segmentation method. In this research work, Threshold segmentation is compared with the k-mean clustering method. The lung CT image is enhanced with a Gabor filter and is processed for segmentation
Keywords
: Segmentation, Artificial Intelligence, Image Processing, Thresholding, CT Images, Sensitivity, Accuracy, Novel Segmentation.
