Quantitative Evaluation of Lung Tumor Detection Applied to Axial MR Images

Segmentation helps in locating different boundaries and objects present in a digital image. During the segmentation process, similar pixel intensities are assigned with the same label for the ease of identification. Several methods and algorithms have been developed for defined and the problems are domain specific. Our aim is to analysis of lung tumor in color and colorless algorithms. In color algorithm such as modified color based K-means clustering and region growing provides better result compared to the colorless algorithms.