Title :
Segmentation of lung CT images with random walk algorithm
Author :
Ozen, Yunus ; Kose, C.
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Karadeniz Teknik Univ., Trabzon, Turkey
Abstract :
Lung segmentation operation is handling a very important role for determining unhealthy tissues and thus diagnosis and treatment of lung cancer. In this work Lung CT images are segmented by using Random Walk algorithm. First 25 DICOM images belong to 4 patients are read for processing and 8-bit gray level images obtained. For interactive segmentation, the seed points are set and applied as input parameters to the algorithm. Using the output values, the segmentation finished with an accuracy of average %95.
Keywords :
biological tissues; cancer; computerised tomography; image segmentation; lung; medical image processing; patient diagnosis; patient treatment; DICOM images; gray level images; interactive segmentation; lung CT image segmentation; lung cancer diagnosis; lung cancer treatment; lung segmentation operation; random walk algorithm; seed points; unhealthy tissues; word length 8 bit; Cancer; Computed tomography; Conferences; DICOM; Image segmentation; Lungs; Image segmentation; Lung segmentation; Medical image proccessing; Random Walk; Random Walk segmentation;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830702
