Processing of Medical Images with Automatic Algorithms

EasyChair Preprint 15036

Abstract

The computer-based process of identifying the boundaries of lung from surrounding thoracic tissue on computed tomographic (CT) images, which is called segmentation, is a vital first step in radiologic pulmonary image analysis. Many algorithms and software platforms provide image segmentation routines for quantification of lung images. Segmentation is the process of isolating specific regions or objects within an imaged volume, so that further study can be undertaken on these areas of interest. This study basically depends on different segmenting methods and different algorithms on segmenting automatically. Some processing techniques that are used are: Normalize, Gaussian filter, Median filter, enhanced and Thresholding.

Keyphrases: Medical Images, gaussian filter median filter, image analysis, machine learning, medical image processing, segmentation techniques, thresholding segmentation

@booklet{EasyChair:15036,
  author    = {Oltiana Seitaj},
  title     = {Processing of Medical Images with Automatic Algorithms},
  howpublished = {EasyChair Preprint 15036},
  year      = {EasyChair, 2024}}